Pandas Profiling Report

Dataset statistics

Number of variables	62
Number of observations	88
Missing cells	2160
Missing cells (%)	39.6%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	42.8 KiB
Average record size in memory	497.5 B

Variable types

Numeric	12
Categorical	41
Unsupported	9

Alerts

`airdate` has constant value "2020-12-09"	Constant
`_embedded.show.dvdCountry.name` has constant value "Ukraine"	Constant
`_embedded.show.dvdCountry.code` has constant value "UA"	Constant
`_embedded.show.dvdCountry.timezone` has constant value "Europe/Zaporozhye"	Constant
`url` has a high cardinality: 88 distinct values	High cardinality
`name` has a high cardinality: 82 distinct values	High cardinality
`_links.self.href` has a high cardinality: 88 distinct values	High cardinality
`_embedded.show.url` has a high cardinality: 67 distinct values	High cardinality
`_embedded.show.name` has a high cardinality: 66 distinct values	High cardinality
`_embedded.show.premiered` has a high cardinality: 59 distinct values	High cardinality
`_embedded.show.officialSite` has a high cardinality: 57 distinct values	High cardinality
`_embedded.show.image.medium` has a high cardinality: 64 distinct values	High cardinality
`_embedded.show.image.original` has a high cardinality: 64 distinct values	High cardinality
`_embedded.show.summary` has a high cardinality: 55 distinct values	High cardinality
`_embedded.show._links.self.href` has a high cardinality: 67 distinct values	High cardinality
`_embedded.show._links.previousepisode.href` has a high cardinality: 67 distinct values	High cardinality
`id` is highly correlated with `rating.average` and 1 other fields	High correlation
`season` is highly correlated with `_embedded.show.id` and 3 other fields	High correlation
`number` is highly correlated with `rating.average` and 3 other fields	High correlation
`runtime` is highly correlated with `rating.average` and 3 other fields	High correlation
`rating.average` is highly correlated with `id` and 7 other fields	High correlation
`_embedded.show.id` is highly correlated with `season` and 5 other fields	High correlation
`_embedded.show.runtime` is highly correlated with `runtime` and 3 other fields	High correlation
`_embedded.show.averageRuntime` is highly correlated with `runtime` and 3 other fields	High correlation
`_embedded.show.rating.average` is highly correlated with `season` and 8 other fields	High correlation
`_embedded.show.weight` is highly correlated with `rating.average` and 4 other fields	High correlation
`_embedded.show.webChannel.id` is highly correlated with `rating.average` and 3 other fields	High correlation
`_embedded.show.externals.tvrage` is highly correlated with `id` and 10 other fields	High correlation
`_embedded.show.externals.thetvdb` is highly correlated with `season` and 5 other fields	High correlation
`_embedded.show.updated` is highly correlated with `rating.average` and 4 other fields	High correlation
`_embedded.show.network.id` is highly correlated with `_embedded.show.rating.average` and 5 other fields	High correlation
`id` is highly correlated with `rating.average` and 1 other fields	High correlation
`season` is highly correlated with `number` and 1 other fields	High correlation
`number` is highly correlated with `season` and 5 other fields	High correlation
`runtime` is highly correlated with `rating.average` and 3 other fields	High correlation
`rating.average` is highly correlated with `id` and 7 other fields	High correlation
`_embedded.show.id` is highly correlated with `number` and 3 other fields	High correlation
`_embedded.show.runtime` is highly correlated with `number` and 3 other fields	High correlation
`_embedded.show.averageRuntime` is highly correlated with `runtime` and 3 other fields	High correlation
`_embedded.show.rating.average` is highly correlated with `number` and 3 other fields	High correlation
`_embedded.show.weight` is highly correlated with `rating.average` and 3 other fields	High correlation
`_embedded.show.webChannel.id` is highly correlated with `rating.average` and 1 other fields	High correlation
`_embedded.show.externals.tvrage` is highly correlated with `id` and 10 other fields	High correlation
`_embedded.show.externals.thetvdb` is highly correlated with `_embedded.show.id` and 2 other fields	High correlation
`_embedded.show.updated` is highly correlated with `rating.average` and 2 other fields	High correlation
`_embedded.show.network.id` is highly correlated with `_embedded.show.rating.average` and 4 other fields	High correlation
`id` is highly correlated with `rating.average` and 1 other fields	High correlation
`season` is highly correlated with `_embedded.show.rating.average` and 2 other fields	High correlation
`number` is highly correlated with `rating.average` and 2 other fields	High correlation
`runtime` is highly correlated with `rating.average` and 3 other fields	High correlation
`rating.average` is highly correlated with `id` and 7 other fields	High correlation
`_embedded.show.id` is highly correlated with `rating.average` and 1 other fields	High correlation
`_embedded.show.runtime` is highly correlated with `runtime` and 2 other fields	High correlation
`_embedded.show.averageRuntime` is highly correlated with `runtime` and 3 other fields	High correlation
`_embedded.show.rating.average` is highly correlated with `season` and 6 other fields	High correlation
`_embedded.show.weight` is highly correlated with `rating.average` and 3 other fields	High correlation
`_embedded.show.webChannel.id` is highly correlated with `rating.average` and 2 other fields	High correlation
`_embedded.show.externals.tvrage` is highly correlated with `id` and 10 other fields	High correlation
`_embedded.show.externals.thetvdb` is highly correlated with `season` and 3 other fields	High correlation
`_embedded.show.updated` is highly correlated with `rating.average` and 2 other fields	High correlation
`_embedded.show.network.id` is highly correlated with `_embedded.show.rating.average` and 4 other fields	High correlation
`id` is highly correlated with `url` and 27 other fields	High correlation
`url` is highly correlated with `id` and 45 other fields	High correlation
`name` is highly correlated with `id` and 41 other fields	High correlation
`season` is highly correlated with `url` and 23 other fields	High correlation
`number` is highly correlated with `url` and 36 other fields	High correlation
`type` is highly correlated with `url` and 26 other fields	High correlation
`airtime` is highly correlated with `id` and 40 other fields	High correlation
`airstamp` is highly correlated with `id` and 42 other fields	High correlation
`runtime` is highly correlated with `url` and 38 other fields	High correlation
`summary` is highly correlated with `id` and 40 other fields	High correlation
`image.medium` is highly correlated with `id` and 39 other fields	High correlation
`image.original` is highly correlated with `id` and 39 other fields	High correlation
`_links.self.href` is highly correlated with `id` and 45 other fields	High correlation
`_embedded.show.id` is highly correlated with `url` and 42 other fields	High correlation
`_embedded.show.url` is highly correlated with `id` and 45 other fields	High correlation
`_embedded.show.name` is highly correlated with `id` and 45 other fields	High correlation
`_embedded.show.type` is highly correlated with `url` and 43 other fields	High correlation
`_embedded.show.language` is highly correlated with `url` and 42 other fields	High correlation
`_embedded.show.status` is highly correlated with `url` and 37 other fields	High correlation
`_embedded.show.runtime` is highly correlated with `id` and 42 other fields	High correlation
`_embedded.show.averageRuntime` is highly correlated with `url` and 40 other fields	High correlation
`_embedded.show.premiered` is highly correlated with `id` and 45 other fields	High correlation
`_embedded.show.ended` is highly correlated with `id` and 33 other fields	High correlation
`_embedded.show.officialSite` is highly correlated with `id` and 45 other fields	High correlation
`_embedded.show.schedule.time` is highly correlated with `id` and 39 other fields	High correlation
`_embedded.show.rating.average` is highly correlated with `id` and 23 other fields	High correlation
`_embedded.show.weight` is highly correlated with `id` and 37 other fields	High correlation
`_embedded.show.webChannel.id` is highly correlated with `url` and 34 other fields	High correlation
`_embedded.show.webChannel.name` is highly correlated with `url` and 40 other fields	High correlation
`_embedded.show.webChannel.officialSite` is highly correlated with `url` and 35 other fields	High correlation
`_embedded.show.externals.thetvdb` is highly correlated with `url` and 38 other fields	High correlation
`_embedded.show.externals.imdb` is highly correlated with `id` and 45 other fields	High correlation
`_embedded.show.image.medium` is highly correlated with `id` and 45 other fields	High correlation
`_embedded.show.image.original` is highly correlated with `id` and 45 other fields	High correlation
`_embedded.show.summary` is highly correlated with `id` and 45 other fields	High correlation
`_embedded.show.updated` is highly correlated with `url` and 26 other fields	High correlation
`_embedded.show._links.self.href` is highly correlated with `id` and 45 other fields	High correlation
`_embedded.show._links.previousepisode.href` is highly correlated with `id` and 45 other fields	High correlation
`_embedded.show.webChannel.country.name` is highly correlated with `url` and 37 other fields	High correlation
`_embedded.show.webChannel.country.code` is highly correlated with `url` and 37 other fields	High correlation
`_embedded.show.webChannel.country.timezone` is highly correlated with `url` and 37 other fields	High correlation
`_embedded.show._links.nextepisode.href` is highly correlated with `id` and 35 other fields	High correlation
`_embedded.show.network.id` is highly correlated with `url` and 34 other fields	High correlation
`_embedded.show.network.name` is highly correlated with `id` and 38 other fields	High correlation
`_embedded.show.network.country.name` is highly correlated with `id` and 37 other fields	High correlation
`_embedded.show.network.country.code` is highly correlated with `id` and 37 other fields	High correlation
`_embedded.show.network.country.timezone` is highly correlated with `id` and 37 other fields	High correlation
`number` has 4 (4.5%) missing values	Missing
`runtime` has 4 (4.5%) missing values	Missing
`summary` has 69 (78.4%) missing values	Missing
`rating.average` has 86 (97.7%) missing values	Missing
`image.medium` has 64 (72.7%) missing values	Missing
`image.original` has 64 (72.7%) missing values	Missing
`_embedded.show.language` has 2 (2.3%) missing values	Missing
`_embedded.show.runtime` has 23 (26.1%) missing values	Missing
`_embedded.show.averageRuntime` has 3 (3.4%) missing values	Missing
`_embedded.show.ended` has 50 (56.8%) missing values	Missing
`_embedded.show.officialSite` has 13 (14.8%) missing values	Missing
`_embedded.show.rating.average` has 82 (93.2%) missing values	Missing
`_embedded.show.network` has 88 (100.0%) missing values	Missing
`_embedded.show.webChannel.id` has 6 (6.8%) missing values	Missing
`_embedded.show.webChannel.name` has 6 (6.8%) missing values	Missing
`_embedded.show.webChannel.country` has 88 (100.0%) missing values	Missing
`_embedded.show.webChannel.officialSite` has 37 (42.0%) missing values	Missing
`_embedded.show.dvdCountry` has 88 (100.0%) missing values	Missing
`_embedded.show.externals.tvrage` has 86 (97.7%) missing values	Missing
`_embedded.show.externals.thetvdb` has 35 (39.8%) missing values	Missing
`_embedded.show.externals.imdb` has 49 (55.7%) missing values	Missing
`_embedded.show.image.medium` has 3 (3.4%) missing values	Missing
`_embedded.show.image.original` has 3 (3.4%) missing values	Missing
`_embedded.show.summary` has 12 (13.6%) missing values	Missing
`image` has 88 (100.0%) missing values	Missing
`_embedded.show.webChannel.country.name` has 43 (48.9%) missing values	Missing
`_embedded.show.webChannel.country.code` has 43 (48.9%) missing values	Missing
`_embedded.show.webChannel.country.timezone` has 43 (48.9%) missing values	Missing
`_embedded.show._links.nextepisode.href` has 81 (92.0%) missing values	Missing
`_embedded.show.network.id` has 75 (85.2%) missing values	Missing
`_embedded.show.network.name` has 75 (85.2%) missing values	Missing
`_embedded.show.network.country.name` has 75 (85.2%) missing values	Missing
`_embedded.show.network.country.code` has 75 (85.2%) missing values	Missing
`_embedded.show.network.country.timezone` has 75 (85.2%) missing values	Missing
`_embedded.show.network.officialSite` has 88 (100.0%) missing values	Missing
`_embedded.show.webChannel` has 88 (100.0%) missing values	Missing
`_embedded.show.image` has 88 (100.0%) missing values	Missing
`_embedded.show.dvdCountry.name` has 86 (97.7%) missing values	Missing
`_embedded.show.dvdCountry.code` has 86 (97.7%) missing values	Missing
`_embedded.show.dvdCountry.timezone` has 86 (97.7%) missing values	Missing
`url` is uniformly distributed	Uniform
`name` is uniformly distributed	Uniform
`summary` is uniformly distributed	Uniform
`rating.average` is uniformly distributed	Uniform
`image.medium` is uniformly distributed	Uniform
`image.original` is uniformly distributed	Uniform
`_links.self.href` is uniformly distributed	Uniform
`_embedded.show.url` is uniformly distributed	Uniform
`_embedded.show.name` is uniformly distributed	Uniform
`_embedded.show.officialSite` is uniformly distributed	Uniform
`_embedded.show.externals.tvrage` is uniformly distributed	Uniform
`_embedded.show.image.medium` is uniformly distributed	Uniform
`_embedded.show.image.original` is uniformly distributed	Uniform
`_embedded.show.summary` is uniformly distributed	Uniform
`_embedded.show._links.self.href` is uniformly distributed	Uniform
`_embedded.show._links.previousepisode.href` is uniformly distributed	Uniform
`_embedded.show._links.nextepisode.href` is uniformly distributed	Uniform
`id` has unique values	Unique
`url` has unique values	Unique
`_links.self.href` has unique values	Unique
`_embedded.show.genres` is an unsupported type, check if it needs cleaning or further analysis	Unsupported
`_embedded.show.schedule.days` is an unsupported type, check if it needs cleaning or further analysis	Unsupported
`_embedded.show.network` is an unsupported type, check if it needs cleaning or further analysis	Unsupported
`_embedded.show.webChannel.country` is an unsupported type, check if it needs cleaning or further analysis	Unsupported
`_embedded.show.dvdCountry` is an unsupported type, check if it needs cleaning or further analysis	Unsupported
`image` is an unsupported type, check if it needs cleaning or further analysis	Unsupported
`_embedded.show.network.officialSite` is an unsupported type, check if it needs cleaning or further analysis	Unsupported
`_embedded.show.webChannel` is an unsupported type, check if it needs cleaning or further analysis	Unsupported
`_embedded.show.image` is an unsupported type, check if it needs cleaning or further analysis	Unsupported

Reproduction

Analysis started	2022-09-06 02:39:51.678506
Analysis finished	2022-09-06 02:40:08.402691
Duration	16.72 seconds
Software version	pandas-profiling v3.2.0
Download configuration	config.json

id
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
UNIQUE

Distinct	88
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	2027522.557

Minimum	1941971
Maximum	2386105
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	832.0 B

Quantile statistics

Minimum	1941971
5-th percentile	1966970.25
Q1	1978051.5
median	1985463.5
Q3	2044222.25
95-th percentile	2194435.85
Maximum	2386105
Range	444134
Interquartile range (IQR)	66170.75

Descriptive statistics

Standard deviation	85209.44614
Coefficient of variation (CV)	0.04202638627
Kurtosis	4.01542291
Mean	2027522.557
Median Absolute Deviation (MAD)	11846.5
Skewness	2.000435218
Sum	178421985
Variance	7260649711
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
2179612	1	1.1%
1986871	1	1.1%
1985464	1	1.1%
1985463	1	1.1%
1984949	1	1.1%
1984948	1	1.1%
1977639	1	1.1%
1977638	1	1.1%
1976194	1	1.1%
1976193	1	1.1%
Other values (78)	78	88.6%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1941971	1	1.1%
1945145	1	1.1%
1958866	1	1.1%
1960033	1	1.1%
1964494	1	1.1%
1971569	1	1.1%
1971950	1	1.1%
1972643	1	1.1%
1972644	1	1.1%
1972645	1	1.1%

Value	Count	Frequency (%)
2386105	1	1.1%
2318101	1	1.1%
2205971	1	1.1%
2205970	1	1.1%
2195412	1	1.1%
2192623	1	1.1%
2182081	1	1.1%
2179612	1	1.1%
2174899	1	1.1%
2166194	1	1.1%

url
Categorical

HIGH CARDINALITY
HIGH CORRELATION
UNIFORM
UNIQUE

Distinct	88
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Memory size	832.0 B

https://www.tvmaze.com/episodes/2179612/kontakty-1x29-kontakty-v-telefone-nikolaa-soboleva-klava-koka-eldar-dzarahov-andrej-malahov-edvard-bil	1
https://www.tvmaze.com/episodes/1986871/kotiki-1x08-seria-8	1
https://www.tvmaze.com/episodes/1985464/you-complete-me-1x08-episode-8	1
https://www.tvmaze.com/episodes/1985463/you-complete-me-1x07-episode-7	1
https://www.tvmaze.com/episodes/1984949/dream-detective-1x10-episode-10	1
Other values (83)	83

Length

Max length	149
Median length	98
Mean length	81.04545455
Min length	57

Characters and Unicode

Total characters	7132
Distinct characters	40
Distinct categories	4 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	88 ?
Unique (%)	100.0%

Sample

1st row	https://www.tvmaze.com/episodes/2179612/kontakty-1x29-kontakty-v-telefone-nikolaa-soboleva-klava-koka-eldar-dzarahov-andrej-malahov-edvard-bil
2nd row	https://www.tvmaze.com/episodes/1986871/kotiki-1x08-seria-8
3rd row	https://www.tvmaze.com/episodes/1983257/mertvye-dusi-1x01-seria-1
4th row	https://www.tvmaze.com/episodes/1983258/mertvye-dusi-1x02-seria-2
5th row	https://www.tvmaze.com/episodes/1971569/mermaid-prince-2x09-episode-9

Common Values

Value	Count	Frequency (%)
https://www.tvmaze.com/episodes/2179612/kontakty-1x29-kontakty-v-telefone-nikolaa-soboleva-klava-koka-eldar-dzarahov-andrej-malahov-edvard-bil	1	1.1%
https://www.tvmaze.com/episodes/1986871/kotiki-1x08-seria-8	1	1.1%
https://www.tvmaze.com/episodes/1985464/you-complete-me-1x08-episode-8	1	1.1%
https://www.tvmaze.com/episodes/1985463/you-complete-me-1x07-episode-7	1	1.1%
https://www.tvmaze.com/episodes/1984949/dream-detective-1x10-episode-10	1	1.1%
https://www.tvmaze.com/episodes/1984948/dream-detective-1x09-episode-9	1	1.1%
https://www.tvmaze.com/episodes/1977639/to-love-1x28-episode-28	1	1.1%
https://www.tvmaze.com/episodes/1977638/to-love-1x27-episode-27	1	1.1%
https://www.tvmaze.com/episodes/1976194/psych-hunter-1x28-episode-28	1	1.1%
https://www.tvmaze.com/episodes/1976193/psych-hunter-1x27-episode-27	1	1.1%
Other values (78)	78	88.6%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
https://www.tvmaze.com/episodes/2179612/kontakty-1x29-kontakty-v-telefone-nikolaa-soboleva-klava-koka-eldar-dzarahov-andrej-malahov-edvard-bil	1	1.1%
https://www.tvmaze.com/episodes/1986871/kotiki-1x08-seria-8	1	1.1%
https://www.tvmaze.com/episodes/1983257/mertvye-dusi-1x01-seria-1	1	1.1%
https://www.tvmaze.com/episodes/1983258/mertvye-dusi-1x02-seria-2	1	1.1%
https://www.tvmaze.com/episodes/1971569/mermaid-prince-2x09-episode-9	1	1.1%
https://www.tvmaze.com/episodes/1985044/wan-sheng-jie-2x11-enough-money-was-left-for-this-episode	1	1.1%
https://www.tvmaze.com/episodes/2386105/xian-feng-jian-yu-lu-1x46-episode-46	1	1.1%
https://www.tvmaze.com/episodes/1985616/yi-nian-yong-heng-1x20-episode-20	1	1.1%
https://www.tvmaze.com/episodes/2096296/no-turning-back-romance-1x02-2	1	1.1%
https://www.tvmaze.com/episodes/2030019/dolls-frontline-2x11-episode-11	1	1.1%
Other values (78)	78	88.6%

Most occurring characters

Value	Count	Frequency (%)
e	610	8.6%
-	549	7.7%
s	461	6.5%
/	440	6.2%
t	429	6.0%
o	374	5.2%
a	306	4.3%
w	285	4.0%
i	267	3.7%
p	266	3.7%
Other values (30)	3145	44.1%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	4889	68.6%
Decimal Number	990	13.9%
Other Punctuation	704	9.9%
Dash Punctuation	549	7.7%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	610	12.5%
s	461	9.4%
t	429	8.8%
o	374	7.6%
a	306	6.3%
w	285	5.8%
i	267	5.5%
p	266	5.4%
m	265	5.4%
d	196	4.0%
Other values (16)	1430	29.2%

Decimal Number

Value	Count	Frequency (%)
1	226	22.8%
2	126	12.7%
0	124	12.5%
9	122	12.3%
3	71	7.2%
8	69	7.0%
4	66	6.7%
7	64	6.5%
6	61	6.2%
5	61	6.2%

Other Punctuation

Value	Count	Frequency (%)
/	440	62.5%
.	176	25.0%
:	88	12.5%

Dash Punctuation

Value	Count	Frequency (%)
-	549	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	4889	68.6%
Common	2243	31.4%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	610	12.5%
s	461	9.4%
t	429	8.8%
o	374	7.6%
a	306	6.3%
w	285	5.8%
i	267	5.5%
p	266	5.4%
m	265	5.4%
d	196	4.0%
Other values (16)	1430	29.2%

Common

Value	Count	Frequency (%)
-	549	24.5%
/	440	19.6%
1	226	10.1%
.	176	7.8%
2	126	5.6%
0	124	5.5%
9	122	5.4%
:	88	3.9%
3	71	3.2%
8	69	3.1%
Other values (4)	252	11.2%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	7132	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
e	610	8.6%
-	549	7.7%
s	461	6.5%
/	440	6.2%
t	429	6.0%
o	374	5.2%
a	306	4.3%
w	285	4.0%
i	267	3.7%
p	266	3.7%
Other values (30)	3145	44.1%

name
Categorical

HIGH CARDINALITY
HIGH CORRELATION
UNIFORM

Distinct	82
Distinct (%)	93.2%
Missing	0
Missing (%)	0.0%
Memory size	832.0 B

Episode 9	3
Episode 10	2
Episode 28	2
Episode 8	2
Episode 27	2
Other values (77)	77

Length

Max length	93
Median length	62
Mean length	19.80681818
Min length	1

Characters and Unicode

Total characters	1743
Distinct characters	128
Distinct categories	9 ?
Distinct scripts	3 ?
Distinct blocks	3 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	77 ?
Unique (%)	87.5%

Sample

1st row	КОНТАКТЫ в телефоне Николая Соболева: Клава Кока, Эльдар Джарахов, Андрей Малахов, Эдвард Бил
2nd row	Серия 8
3rd row	Серия 1
4th row	Серия 2
5th row	Episode 9

Common Values

Value	Count	Frequency (%)
Episode 9	3	3.4%
Episode 10	2	2.3%
Episode 28	2	2.3%
Episode 8	2	2.3%
Episode 27	2	2.3%
КОНТАКТЫ в телефоне Николая Соболева: Клава Кока, Эльдар Джарахов, Андрей Малахов, Эдвард Бил	1	1.1%
Episode 23	1	1.1%
Episode 19	1	1.1%
Episode 7	1	1.1%
Episode 18	1	1.1%
Other values (72)	72	81.8%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
episode	32	10.7%
	10	3.3%
9	5	1.7%
the	5	1.7%
2	4	1.3%
to	4	1.3%
серия	3	1.0%
vs	3	1.0%
1	3	1.0%
8	3	1.0%
Other values (214)	228	76.0%

Most occurring characters

Value	Count	Frequency (%)
	213	12.2%
e	131	7.5%
o	96	5.5%
i	83	4.8%
a	74	4.2%
s	71	4.1%
r	69	4.0%
n	61	3.5%
t	55	3.2%
d	52	3.0%
Other values (118)	838	48.1%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	1159	66.5%
Uppercase Letter	245	14.1%
Space Separator	213	12.2%
Decimal Number	80	4.6%
Other Punctuation	35	2.0%
Dash Punctuation	8	0.5%
Close Punctuation	1	0.1%
Open Punctuation	1	0.1%
Math Symbol	1	0.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	131	11.3%
o	96	8.3%
i	83	7.2%
a	74	6.4%
s	71	6.1%
r	69	6.0%
n	61	5.3%
t	55	4.7%
d	52	4.5%
p	47	4.1%
Other values (49)	420	36.2%

Uppercase Letter

Value	Count	Frequency (%)
E	38	15.5%
B	13	5.3%
H	13	5.3%
T	13	5.3%
S	12	4.9%
D	10	4.1%
L	10	4.1%
M	9	3.7%
F	9	3.7%
A	9	3.7%
Other values (35)	109	44.5%

Decimal Number

Value	Count	Frequency (%)
2	17	21.2%
1	17	21.2%
0	10	12.5%
8	7	8.8%
9	6	7.5%
7	5	6.2%
4	5	6.2%
3	5	6.2%
5	4	5.0%
6	4	5.0%

Other Punctuation

Value	Count	Frequency (%)
,	11	31.4%
.	7	20.0%
&	5	14.3%
:	4	11.4%
!	3	8.6%
"	2	5.7%
'	1	2.9%
/	1	2.9%
?	1	2.9%

Space Separator

Value	Count	Frequency (%)
	213	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	8	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	1	100.0%

Open Punctuation

Value	Count	Frequency (%)
(	1	100.0%

Math Symbol

Value	Count	Frequency (%)
\|	1	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	1128	64.7%
Common	339	19.4%
Cyrillic	276	15.8%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	131	11.6%
o	96	8.5%
i	83	7.4%
a	74	6.6%
s	71	6.3%
r	69	6.1%
n	61	5.4%
t	55	4.9%
d	52	4.6%
p	47	4.2%
Other values (42)	389	34.5%

Cyrillic

Value	Count	Frequency (%)
а	25	9.1%
е	24	8.7%
о	16	5.8%
и	15	5.4%
р	14	5.1%
н	13	4.7%
л	12	4.3%
к	11	4.0%
в	9	3.3%
К	8	2.9%
Other values (42)	129	46.7%

Common

Value	Count	Frequency (%)
	213	62.8%
2	17	5.0%
1	17	5.0%
,	11	3.2%
0	10	2.9%
-	8	2.4%
.	7	2.1%
8	7	2.1%
9	6	1.8%
7	5	1.5%
Other values (14)	38	11.2%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1460	83.8%
Cyrillic	276	15.8%
None	7	0.4%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	213	14.6%
e	131	9.0%
o	96	6.6%
i	83	5.7%
a	74	5.1%
s	71	4.9%
r	69	4.7%
n	61	4.2%
t	55	3.8%
d	52	3.6%
Other values (62)	555	38.0%

Cyrillic

Value	Count	Frequency (%)
а	25	9.1%
е	24	8.7%
о	16	5.8%
и	15	5.4%
р	14	5.1%
н	13	4.7%
л	12	4.3%
к	11	4.0%
в	9	3.3%
К	8	2.9%
Other values (42)	129	46.7%

None

Value	Count	Frequency (%)
í	2	28.6%
á	2	28.6%
ó	2	28.6%
ø	1	14.3%

season
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	14
Distinct (%)	15.9%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	94.42045455

Minimum	1
Maximum	2020
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	832.0 B

Quantile statistics

Minimum	1
5-th percentile	1
Q1	1
median	1
Q3	2.25
95-th percentile	26.45
Maximum	2020
Range	2019
Interquartile range (IQR)	1.25

Descriptive statistics

Standard deviation	422.6251218
Coefficient of variation (CV)	4.475991181
Kurtosis	18.12459218
Mean	94.42045455
Median Absolute Deviation (MAD)	0
Skewness	4.4396774
Sum	8309
Variance	178611.9936
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=14)

Value	Count	Frequency (%)
1	54	61.4%
2	12	13.6%
2020	4	4.5%
4	4	4.5%
7	3	3.4%
3	2	2.3%
5	2	2.3%
10	1	1.1%
8	1	1.1%
6	1	1.1%
Other values (4)	4	4.5%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	54	61.4%
2	12	13.6%
3	2	2.3%
4	4	4.5%
5	2	2.3%
6	1	1.1%
7	3	3.4%
8	1	1.1%
10	1	1.1%
11	1	1.1%

Value	Count	Frequency (%)
2020	4	4.5%
31	1	1.1%
18	1	1.1%
14	1	1.1%
11	1	1.1%
10	1	1.1%
8	1	1.1%
7	3	3.4%
6	1	1.1%
5	2	2.3%

number
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	42
Distinct (%)	50.0%
Missing	4
Missing (%)	4.5%
Infinite	0
Infinite (%)	0.0%
Mean	27.83333333

Minimum	1
Maximum	296
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	832.0 B

Quantile statistics

Minimum	1
5-th percentile	1.15
Q1	4.75
median	11
Q3	28
95-th percentile	95.3
Maximum	296
Range	295
Interquartile range (IQR)	23.25

Descriptive statistics

Standard deviation	49.51836299
Coefficient of variation (CV)	1.779102862
Kurtosis	19.65774899
Mean	27.83333333
Median Absolute Deviation (MAD)	8.5
Skewness	4.144932508
Sum	2338
Variance	2452.068273
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=42)

Value	Count	Frequency (%)
2	8	9.1%
1	5	5.7%
3	5	5.7%
8	5	5.7%
9	4	4.5%
10	4	4.5%
7	3	3.4%
5	3	3.4%
18	3	3.4%
4	3	3.4%
Other values (32)	41	46.6%
(Missing)	4	4.5%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	5	5.7%
2	8	9.1%
3	5	5.7%
4	3	3.4%
5	3	3.4%
6	1	1.1%
7	3	3.4%
8	5	5.7%
9	4	4.5%
10	4	4.5%

Value	Count	Frequency (%)
296	1	1.1%
295	1	1.1%
148	1	1.1%
110	1	1.1%
98	1	1.1%
80	1	1.1%
62	1	1.1%
61	1	1.1%
59	1	1.1%
56	1	1.1%

type
Categorical

HIGH CORRELATION

Distinct	3
Distinct (%)	3.4%
Missing	0
Missing (%)	0.0%
Memory size	832.0 B

regular	84
significant_special	3
insignificant_special	1

Length

Max length	21
Median length	7
Mean length	7.568181818
Min length	7

Characters and Unicode

Total characters	666
Distinct characters	14
Distinct categories	2 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1 ?
Unique (%)	1.1%

Sample

1st row	regular
2nd row	regular
3rd row	regular
4th row	regular
5th row	regular

Common Values

Value	Count	Frequency (%)
regular	84	95.5%
significant_special	3	3.4%
insignificant_special	1	1.1%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
regular	84	95.5%
significant_special	3	3.4%
insignificant_special	1	1.1%

Most occurring characters

Value	Count	Frequency (%)
r	168	25.2%
a	92	13.8%
e	88	13.2%
g	88	13.2%
l	88	13.2%
u	84	12.6%
i	17	2.6%
n	9	1.4%
s	8	1.2%
c	8	1.2%
Other values (4)	16	2.4%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	662	99.4%
Connector Punctuation	4	0.6%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
r	168	25.4%
a	92	13.9%
e	88	13.3%
g	88	13.3%
l	88	13.3%
u	84	12.7%
i	17	2.6%
n	9	1.4%
s	8	1.2%
c	8	1.2%
Other values (3)	12	1.8%

Connector Punctuation

Value	Count	Frequency (%)
_	4	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	662	99.4%
Common	4	0.6%

Most frequent character per script

Latin

Value	Count	Frequency (%)
r	168	25.4%
a	92	13.9%
e	88	13.3%
g	88	13.3%
l	88	13.3%
u	84	12.7%
i	17	2.6%
n	9	1.4%
s	8	1.2%
c	8	1.2%
Other values (3)	12	1.8%

Common

Value	Count	Frequency (%)
_	4	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	666	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
r	168	25.2%
a	92	13.8%
e	88	13.2%
g	88	13.2%
l	88	13.2%
u	84	12.6%
i	17	2.6%
n	9	1.4%
s	8	1.2%
c	8	1.2%
Other values (4)	16	2.4%

airdate
Categorical

CONSTANT
REJECTED

Distinct	1
Distinct (%)	1.1%
Missing	0
Missing (%)	0.0%
Memory size	832.0 B

2020-12-09	88

Length

Max length	10
Median length	10
Mean length	10
Min length	10

Characters and Unicode

Total characters	880
Distinct characters	5
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	2020-12-09
2nd row	2020-12-09
3rd row	2020-12-09
4th row	2020-12-09
5th row	2020-12-09

Common Values

Value	Count	Frequency (%)
2020-12-09	88	100.0%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
2020-12-09	88	100.0%

Most occurring characters

Value	Count	Frequency (%)
2	264	30.0%
0	264	30.0%
-	176	20.0%
1	88	10.0%
9	88	10.0%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	704	80.0%
Dash Punctuation	176	20.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
2	264	37.5%
0	264	37.5%
1	88	12.5%
9	88	12.5%

Dash Punctuation

Value	Count	Frequency (%)
-	176	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	880	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
2	264	30.0%
0	264	30.0%
-	176	20.0%
1	88	10.0%
9	88	10.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	880	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
2	264	30.0%
0	264	30.0%
-	176	20.0%
1	88	10.0%
9	88	10.0%

airtime
Categorical

HIGH CORRELATION

Distinct	14
Distinct (%)	15.9%
Missing	0
Missing (%)	0.0%
Memory size	832.0 B

	47
20:00	15
06:00	6
10:00	4
19:30	4
Other values (9)	12

Length

Max length	5
Median length	0
Mean length	2.329545455
Min length	0

Characters and Unicode

Total characters	205
Distinct characters	9
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	6 ?
Unique (%)	6.8%

Sample

1st row	12:00
2nd row
3rd row
4th row
5th row	11:00

Common Values

Value	Count	Frequency (%)
	47	53.4%
20:00	15	17.0%
06:00	6	6.8%
10:00	4	4.5%
19:30	4	4.5%
12:00	2	2.3%
21:00	2	2.3%
00:00	2	2.3%
11:00	1	1.1%
05:00	1	1.1%
Other values (4)	4	4.5%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
20:00	15	36.6%
06:00	6	14.6%
10:00	4	9.8%
19:30	4	9.8%
12:00	2	4.9%
21:00	2	4.9%
00:00	2	4.9%
11:00	1	2.4%
05:00	1	2.4%
17:35	1	2.4%
Other values (3)	3	7.3%

Most occurring characters

Value	Count	Frequency (%)
0	104	50.7%
:	41	20.0%
2	22	10.7%
1	17	8.3%
6	6	2.9%
3	6	2.9%
9	5	2.4%
5	3	1.5%
7	1	0.5%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	164	80.0%
Other Punctuation	41	20.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	104	63.4%
2	22	13.4%
1	17	10.4%
6	6	3.7%
3	6	3.7%
9	5	3.0%
5	3	1.8%
7	1	0.6%

Other Punctuation

Value	Count	Frequency (%)
:	41	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	205	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	104	50.7%
:	41	20.0%
2	22	10.7%
1	17	8.3%
6	6	2.9%
3	6	2.9%
9	5	2.4%
5	3	1.5%
7	1	0.5%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	205	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	104	50.7%
:	41	20.0%
2	22	10.7%
1	17	8.3%
6	6	2.9%
3	6	2.9%
9	5	2.4%
5	3	1.5%
7	1	0.5%

airstamp
Categorical

HIGH CORRELATION

Distinct	20
Distinct (%)	22.7%
Missing	0
Missing (%)	0.0%
Memory size	832.0 B

2020-12-09T12:00:00+00:00	42
2020-12-09T05:00:00+00:00	6
2020-12-09T04:00:00+00:00	5
2020-12-09T11:00:00+00:00	5
2020-12-09T00:00:00+00:00	4
Other values (15)	26

Length

Max length	25
Median length	25
Mean length	25
Min length	25

Characters and Unicode

Total characters	2200
Distinct characters	13
Distinct categories	5 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	9 ?
Unique (%)	10.2%

Sample

1st row	2020-12-09T00:00:00+00:00
2nd row	2020-12-09T00:00:00+00:00
3rd row	2020-12-09T00:00:00+00:00
4th row	2020-12-09T00:00:00+00:00
5th row	2020-12-09T02:00:00+00:00

Common Values

Value	Count	Frequency (%)
2020-12-09T12:00:00+00:00	42	47.7%
2020-12-09T05:00:00+00:00	6	6.8%
2020-12-09T04:00:00+00:00	5	5.7%
2020-12-09T11:00:00+00:00	5	5.7%
2020-12-09T00:00:00+00:00	4	4.5%
2020-12-09T19:30:00+00:00	4	4.5%
2020-12-09T02:00:00+00:00	4	4.5%
2020-12-09T17:00:00+00:00	3	3.4%
2020-12-09T15:00:00+00:00	2	2.3%
2020-12-09T13:00:00+00:00	2	2.3%
Other values (10)	11	12.5%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
2020-12-09t12:00:00+00:00	42	47.7%
2020-12-09t05:00:00+00:00	6	6.8%
2020-12-09t04:00:00+00:00	5	5.7%
2020-12-09t11:00:00+00:00	5	5.7%
2020-12-09t00:00:00+00:00	4	4.5%
2020-12-09t19:30:00+00:00	4	4.5%
2020-12-09t02:00:00+00:00	4	4.5%
2020-12-09t17:00:00+00:00	3	3.4%
2020-12-09t13:00:00+00:00	2	2.3%
2020-12-09t10:00:00+00:00	2	2.3%
Other values (10)	11	12.5%

Most occurring characters

Value	Count	Frequency (%)
0	990	45.0%
2	312	14.2%
:	264	12.0%
-	176	8.0%
1	160	7.3%
9	90	4.1%
T	88	4.0%
+	88	4.0%
5	12	0.5%
3	9	0.4%
Other values (3)	11	0.5%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	1584	72.0%
Other Punctuation	264	12.0%
Dash Punctuation	176	8.0%
Uppercase Letter	88	4.0%
Math Symbol	88	4.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	990	62.5%
2	312	19.7%
1	160	10.1%
9	90	5.7%
5	12	0.8%
3	9	0.6%
4	6	0.4%
7	4	0.3%
8	1	0.1%

Other Punctuation

Value	Count	Frequency (%)
:	264	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	176	100.0%

Uppercase Letter

Value	Count	Frequency (%)
T	88	100.0%

Math Symbol

Value	Count	Frequency (%)
+	88	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	2112	96.0%
Latin	88	4.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	990	46.9%
2	312	14.8%
:	264	12.5%
-	176	8.3%
1	160	7.6%
9	90	4.3%
+	88	4.2%
5	12	0.6%
3	9	0.4%
4	6	0.3%
Other values (2)	5	0.2%

Latin

Value	Count	Frequency (%)
T	88	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	2200	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	990	45.0%
2	312	14.2%
:	264	12.0%
-	176	8.0%
1	160	7.3%
9	90	4.1%
T	88	4.0%
+	88	4.0%
5	12	0.5%
3	9	0.4%
Other values (3)	11	0.5%

runtime
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	36
Distinct (%)	42.9%
Missing	4
Missing (%)	4.5%
Infinite	0
Infinite (%)	0.0%
Mean	37.36904762

Minimum	2
Maximum	136
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	832.0 B

Quantile statistics

Minimum	2
5-th percentile	5.3
Q1	19
median	30.5
Q3	45
95-th percentile	103.6
Maximum	136
Range	134
Interquartile range (IQR)	26

Descriptive statistics

Standard deviation	27.46028008
Coefficient of variation (CV)	0.7348402443
Kurtosis	3.352443052
Mean	37.36904762
Median Absolute Deviation (MAD)	14.5
Skewness	1.643022805
Sum	3139
Variance	754.0669822
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=36)

Value	Count	Frequency (%)
45	18	20.5%
30	9	10.2%
25	5	5.7%
60	4	4.5%
5	3	3.4%
33	3	3.4%
7	3	3.4%
12	3	3.4%
43	3	3.4%
120	2	2.3%
Other values (26)	31	35.2%
(Missing)	4	4.5%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
2	1	1.1%
4	1	1.1%
5	3	3.4%
7	3	3.4%
8	2	2.3%
10	1	1.1%
12	3	3.4%
13	2	2.3%
15	2	2.3%
16	1	1.1%

Value	Count	Frequency (%)
136	1	1.1%
121	1	1.1%
120	2	2.3%
106	1	1.1%
90	1	1.1%
72	1	1.1%
60	4	4.5%
58	1	1.1%
55	1	1.1%
53	1	1.1%

summary
Categorical

HIGH CORRELATION
MISSING
UNIFORM

Distinct	19
Distinct (%)	100.0%
Missing	69
Missing (%)	78.4%
Memory size	832.0 B

<p>Go ahead. Ask her why she does it. Trixie and Katya spill the tea on power, power dynamics, and how to use your boobs to wield it over others,</p>	1
<p>Happy Holidays! BFFs Ruby Rose Turner (Coop & Cami Ask the World), Ruth Righi (Sydney to the Max), and special guest Izabela Rose (Upside-Down Magic) compete to see who can make the best gingerbread house! </p>	1
<p>On the last leg of his journey across England, Robbie crosses an epic aqueduct near Stratford-upon-Avon and gets stuck in a lock in central Birmingham.</p>	1
<p>Robbie navigates the mighty River Severn and takes an unexpected bath as he takes a tumble at the Tardebigge lock flight in Worcestershire.</p>	1
<p>Robbie gets stuck in the mud in Woodseaves Cutting and explores the charming canal-side village of Kinver in Staffordshire.</p>	1
Other values (14)	14

Length

Max length	514
Median length	160
Mean length	184.2631579
Min length	61

Characters and Unicode

Total characters	3501
Distinct characters	72
Distinct categories	9 ?
Distinct scripts	2 ?
Distinct blocks	3 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	19 ?
Unique (%)	100.0%

Sample

1st row	<p>Go ahead. Ask her why she does it. Trixie and Katya spill the tea on power, power dynamics, and how to use your boobs to wield it over others,</p>
2nd row	<p>The issue about Mariupol turned out to be one of the most difficult for Zhenya Sinelnikov, because many were waiting for it. At home, this city with a difficult fate will better show: a drama theater, a square, a city pier. Mariupol is the largest city on the Azov coast, the city is one of the industrial giants of Ukraine. Let's walk around Mariupol, as it was many years ago, and we will do it with the help of new - virtual technologies. And also remember the old heading - "Shopping at home is better."</p>
3rd row	<p>A holiday gathering takes a strange turn when Ashley bumps her head and gets a glimpse of her near-distant future with Tío Victor, Tad, Stick and Brooke.</p>
4th row	<p>Stuck on the couch with a broken leg, the Big Show watches as Cassy — aka Mrs. Claus — grants wild wishes while the girls scour the home for gifts.</p>
5th row	<p>When Stolas hires I.M.P as bodyguards on a trip to Loo Loo Land, things sure do happen. <br /> </p>

Common Values

Value	Count	Frequency (%)
<p>Go ahead. Ask her why she does it. Trixie and Katya spill the tea on power, power dynamics, and how to use your boobs to wield it over others,</p>	1	1.1%
<p>Happy Holidays! BFFs Ruby Rose Turner (Coop & Cami Ask the World), Ruth Righi (Sydney to the Max), and special guest Izabela Rose (Upside-Down Magic) compete to see who can make the best gingerbread house! </p>	1	1.1%
<p>On the last leg of his journey across England, Robbie crosses an epic aqueduct near Stratford-upon-Avon and gets stuck in a lock in central Birmingham.</p>	1	1.1%
<p>Robbie navigates the mighty River Severn and takes an unexpected bath as he takes a tumble at the Tardebigge lock flight in Worcestershire.</p>	1	1.1%
<p>Robbie gets stuck in the mud in Woodseaves Cutting and explores the charming canal-side village of Kinver in Staffordshire.</p>	1	1.1%
<p>Robbie battles his way through blanket weed on the Shropshire Union Canal and discovers industrial secrets in Audlem, Cheshire.</p>	1	1.1%
<p>Hot Take breaks down the latest news about the Covid vaccine, the Georgia recount, and more with actor and activist Kal Penn. Plus, Tyler Templeton asks Uncle Squirrel to donate his organs to Rudy Giuliani. </p>	1	1.1%
<p>Welcome to the SEASON 2 of our spooky and now FESTIVE show- Too Many Spirits! Join us as we read your submitted holiday ghost stories and enjoy cocktails prepared by freshman bartender, Steven Lim.</p>	1	1.1%
<p>Arm takes viewers backstage of the MAMA OK photoshoot.</p>	1	1.1%
<p>After falling in love with the heart, Dr. Devi Shetty takes the next step to become a cardiac surgeon. Then a visit with Mother Teresa changes his life.</p>	1	1.1%
Other values (9)	9	10.2%
(Missing)	69	78.4%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
the	31	5.4%
and	22	3.8%
to	18	3.1%
a	15	2.6%
in	10	1.7%
of	10	1.7%
with	7	1.2%
his	7	1.2%
p	7	1.2%
as	6	1.0%
Other values (360)	443	76.9%

Most occurring characters

Value	Count	Frequency (%)
	550	15.7%
e	297	8.5%
a	224	6.4%
t	212	6.1%
o	202	5.8%
i	186	5.3%
n	172	4.9%
s	171	4.9%
r	160	4.6%
h	129	3.7%
Other values (62)	1198	34.2%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	2550	72.8%
Space Separator	559	16.0%
Uppercase Letter	168	4.8%
Other Punctuation	107	3.1%
Math Symbol	96	2.7%
Dash Punctuation	12	0.3%
Open Punctuation	3	0.1%
Close Punctuation	3	0.1%
Decimal Number	3	0.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	297	11.6%
a	224	8.8%
t	212	8.3%
o	202	7.9%
i	186	7.3%
n	172	6.7%
s	171	6.7%
r	160	6.3%
h	129	5.1%
p	104	4.1%
Other values (18)	693	27.2%

Uppercase Letter

Value	Count	Frequency (%)
S	22	13.1%
T	18	10.7%
A	17	10.1%
R	15	8.9%
M	12	7.1%
C	10	6.0%
K	7	4.2%
L	6	3.6%
P	6	3.6%
D	6	3.6%
Other values (15)	49	29.2%

Other Punctuation

Value	Count	Frequency (%)
.	36	33.6%
,	35	32.7%
/	26	24.3%
!	3	2.8%
"	2	1.9%
'	2	1.9%
:	1	0.9%
&	1	0.9%
;	1	0.9%

Space Separator

Value	Count	Frequency (%)
	550	98.4%
	9	1.6%

Math Symbol

Value	Count	Frequency (%)
<	48	50.0%
>	48	50.0%

Dash Punctuation

Value	Count	Frequency (%)
-	10	83.3%
—	2	16.7%

Decimal Number

Value	Count	Frequency (%)
2	2	66.7%
1	1	33.3%

Open Punctuation

Value	Count	Frequency (%)
(	3	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	3	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	2718	77.6%
Common	783	22.4%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	297	10.9%
a	224	8.2%
t	212	7.8%
o	202	7.4%
i	186	6.8%
n	172	6.3%
s	171	6.3%
r	160	5.9%
h	129	4.7%
p	104	3.8%
Other values (43)	861	31.7%

Common

Value	Count	Frequency (%)
	550	70.2%
<	48	6.1%
>	48	6.1%
.	36	4.6%
,	35	4.5%
/	26	3.3%
-	10	1.3%
	9	1.1%
(	3	0.4%
)	3	0.4%
Other values (9)	15	1.9%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	3488	99.6%
None	11	0.3%
Punctuation	2	0.1%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	550	15.8%
e	297	8.5%
a	224	6.4%
t	212	6.1%
o	202	5.8%
i	186	5.3%
n	172	4.9%
s	171	4.9%
r	160	4.6%
h	129	3.7%
Other values (58)	1185	34.0%

None

Value	Count	Frequency (%)
	9	81.8%
ñ	1	9.1%
í	1	9.1%

Punctuation

Value	Count	Frequency (%)
—	2	100.0%

rating.average
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING
UNIFORM

Distinct	2
Distinct (%)	100.0%
Missing	86
Missing (%)	97.7%
Memory size	832.0 B

10.0	1
8.0	1

Length

Max length	4
Median length	3.5
Mean length	3.5
Min length	3

Characters and Unicode

Total characters	7
Distinct characters	4
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	2 ?
Unique (%)	100.0%

Sample

1st row	10.0
2nd row	8.0

Common Values

Value	Count	Frequency (%)
10.0	1	1.1%
8.0	1	1.1%
(Missing)	86	97.7%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
10.0	1	50.0%
8.0	1	50.0%

Most occurring characters

Value	Count	Frequency (%)
0	3	42.9%
.	2	28.6%
1	1	14.3%
8	1	14.3%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	5	71.4%
Other Punctuation	2	28.6%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	3	60.0%
1	1	20.0%
8	1	20.0%

Other Punctuation

Value	Count	Frequency (%)
.	2	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	7	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	3	42.9%
.	2	28.6%
1	1	14.3%
8	1	14.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	7	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	3	42.9%
.	2	28.6%
1	1	14.3%
8	1	14.3%

image.medium
Categorical

HIGH CORRELATION
MISSING
UNIFORM

Distinct	24
Distinct (%)	100.0%
Missing	64
Missing (%)	72.7%
Memory size	832.0 B

https://static.tvmaze.com/uploads/images/medium_landscape/360/901422.jpg	1
https://static.tvmaze.com/uploads/images/medium_landscape/288/720303.jpg	1
https://static.tvmaze.com/uploads/images/medium_landscape/382/956556.jpg	1
https://static.tvmaze.com/uploads/images/medium_landscape/286/716334.jpg	1
https://static.tvmaze.com/uploads/images/medium_landscape/375/937751.jpg	1
Other values (19)	19

Length

Max length	72
Median length	72
Mean length	72
Min length	72

Characters and Unicode

Total characters	1728
Distinct characters	32
Distinct categories	4 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	24 ?
Unique (%)	100.0%

Sample

1st row	https://static.tvmaze.com/uploads/images/medium_landscape/360/901422.jpg
2nd row	https://static.tvmaze.com/uploads/images/medium_landscape/287/719751.jpg
3rd row	https://static.tvmaze.com/uploads/images/medium_landscape/287/719752.jpg
4th row	https://static.tvmaze.com/uploads/images/medium_landscape/290/726343.jpg
5th row	https://static.tvmaze.com/uploads/images/medium_landscape/290/726859.jpg

Common Values

Value	Count	Frequency (%)
https://static.tvmaze.com/uploads/images/medium_landscape/360/901422.jpg	1	1.1%
https://static.tvmaze.com/uploads/images/medium_landscape/288/720303.jpg	1	1.1%
https://static.tvmaze.com/uploads/images/medium_landscape/382/956556.jpg	1	1.1%
https://static.tvmaze.com/uploads/images/medium_landscape/286/716334.jpg	1	1.1%
https://static.tvmaze.com/uploads/images/medium_landscape/375/937751.jpg	1	1.1%
https://static.tvmaze.com/uploads/images/medium_landscape/311/778162.jpg	1	1.1%
https://static.tvmaze.com/uploads/images/medium_landscape/287/719832.jpg	1	1.1%
https://static.tvmaze.com/uploads/images/medium_landscape/287/719831.jpg	1	1.1%
https://static.tvmaze.com/uploads/images/medium_landscape/287/719830.jpg	1	1.1%
https://static.tvmaze.com/uploads/images/medium_landscape/287/719828.jpg	1	1.1%
Other values (14)	14	15.9%
(Missing)	64	72.7%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
https://static.tvmaze.com/uploads/images/medium_landscape/360/901422.jpg	1	4.2%
https://static.tvmaze.com/uploads/images/medium_landscape/288/720303.jpg	1	4.2%
https://static.tvmaze.com/uploads/images/medium_landscape/287/719751.jpg	1	4.2%
https://static.tvmaze.com/uploads/images/medium_landscape/287/719752.jpg	1	4.2%
https://static.tvmaze.com/uploads/images/medium_landscape/290/726343.jpg	1	4.2%
https://static.tvmaze.com/uploads/images/medium_landscape/290/726859.jpg	1	4.2%
https://static.tvmaze.com/uploads/images/medium_landscape/290/726860.jpg	1	4.2%
https://static.tvmaze.com/uploads/images/medium_landscape/290/726861.jpg	1	4.2%
https://static.tvmaze.com/uploads/images/medium_landscape/290/726862.jpg	1	4.2%
https://static.tvmaze.com/uploads/images/medium_landscape/290/726863.jpg	1	4.2%
Other values (14)	14	58.3%

Most occurring characters

Value	Count	Frequency (%)
/	168	9.7%
a	144	8.3%
s	120	6.9%
m	120	6.9%
t	120	6.9%
p	96	5.6%
e	96	5.6%
i	72	4.2%
c	72	4.2%
.	72	4.2%
Other values (22)	648	37.5%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	1224	70.8%
Other Punctuation	264	15.3%
Decimal Number	216	12.5%
Connector Punctuation	24	1.4%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
a	144	11.8%
s	120	9.8%
m	120	9.8%
t	120	9.8%
p	96	7.8%
e	96	7.8%
i	72	5.9%
c	72	5.9%
d	72	5.9%
l	48	3.9%
Other values (8)	264	21.6%

Decimal Number

Value	Count	Frequency (%)
2	44	20.4%
7	36	16.7%
8	27	12.5%
9	22	10.2%
3	21	9.7%
6	18	8.3%
1	17	7.9%
0	15	6.9%
5	11	5.1%
4	5	2.3%

Other Punctuation

Value	Count	Frequency (%)
/	168	63.6%
.	72	27.3%
:	24	9.1%

Connector Punctuation

Value	Count	Frequency (%)
_	24	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	1224	70.8%
Common	504	29.2%

Most frequent character per script

Latin

Value	Count	Frequency (%)
a	144	11.8%
s	120	9.8%
m	120	9.8%
t	120	9.8%
p	96	7.8%
e	96	7.8%
i	72	5.9%
c	72	5.9%
d	72	5.9%
l	48	3.9%
Other values (8)	264	21.6%

Common

Value	Count	Frequency (%)
/	168	33.3%
.	72	14.3%
2	44	8.7%
7	36	7.1%
8	27	5.4%
_	24	4.8%
:	24	4.8%
9	22	4.4%
3	21	4.2%
6	18	3.6%
Other values (4)	48	9.5%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1728	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
/	168	9.7%
a	144	8.3%
s	120	6.9%
m	120	6.9%
t	120	6.9%
p	96	5.6%
e	96	5.6%
i	72	4.2%
c	72	4.2%
.	72	4.2%
Other values (22)	648	37.5%

image.original
Categorical

HIGH CORRELATION
MISSING
UNIFORM

Distinct	24
Distinct (%)	100.0%
Missing	64
Missing (%)	72.7%
Memory size	832.0 B

https://static.tvmaze.com/uploads/images/original_untouched/360/901422.jpg	1
https://static.tvmaze.com/uploads/images/original_untouched/288/720303.jpg	1
https://static.tvmaze.com/uploads/images/original_untouched/382/956556.jpg	1
https://static.tvmaze.com/uploads/images/original_untouched/286/716334.jpg	1
https://static.tvmaze.com/uploads/images/original_untouched/375/937751.jpg	1
Other values (19)	19

Length

Max length	74
Median length	74
Mean length	74
Min length	74

Characters and Unicode

Total characters	1776
Distinct characters	33
Distinct categories	4 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	24 ?
Unique (%)	100.0%

Sample

1st row	https://static.tvmaze.com/uploads/images/original_untouched/360/901422.jpg
2nd row	https://static.tvmaze.com/uploads/images/original_untouched/287/719751.jpg
3rd row	https://static.tvmaze.com/uploads/images/original_untouched/287/719752.jpg
4th row	https://static.tvmaze.com/uploads/images/original_untouched/290/726343.jpg
5th row	https://static.tvmaze.com/uploads/images/original_untouched/290/726859.jpg

Common Values

Value	Count	Frequency (%)
https://static.tvmaze.com/uploads/images/original_untouched/360/901422.jpg	1	1.1%
https://static.tvmaze.com/uploads/images/original_untouched/288/720303.jpg	1	1.1%
https://static.tvmaze.com/uploads/images/original_untouched/382/956556.jpg	1	1.1%
https://static.tvmaze.com/uploads/images/original_untouched/286/716334.jpg	1	1.1%
https://static.tvmaze.com/uploads/images/original_untouched/375/937751.jpg	1	1.1%
https://static.tvmaze.com/uploads/images/original_untouched/311/778162.jpg	1	1.1%
https://static.tvmaze.com/uploads/images/original_untouched/287/719832.jpg	1	1.1%
https://static.tvmaze.com/uploads/images/original_untouched/287/719831.jpg	1	1.1%
https://static.tvmaze.com/uploads/images/original_untouched/287/719830.jpg	1	1.1%
https://static.tvmaze.com/uploads/images/original_untouched/287/719828.jpg	1	1.1%
Other values (14)	14	15.9%
(Missing)	64	72.7%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
https://static.tvmaze.com/uploads/images/original_untouched/360/901422.jpg	1	4.2%
https://static.tvmaze.com/uploads/images/original_untouched/288/720303.jpg	1	4.2%
https://static.tvmaze.com/uploads/images/original_untouched/287/719751.jpg	1	4.2%
https://static.tvmaze.com/uploads/images/original_untouched/287/719752.jpg	1	4.2%
https://static.tvmaze.com/uploads/images/original_untouched/290/726343.jpg	1	4.2%
https://static.tvmaze.com/uploads/images/original_untouched/290/726859.jpg	1	4.2%
https://static.tvmaze.com/uploads/images/original_untouched/290/726860.jpg	1	4.2%
https://static.tvmaze.com/uploads/images/original_untouched/290/726861.jpg	1	4.2%
https://static.tvmaze.com/uploads/images/original_untouched/290/726862.jpg	1	4.2%
https://static.tvmaze.com/uploads/images/original_untouched/290/726863.jpg	1	4.2%
Other values (14)	14	58.3%

Most occurring characters

Value	Count	Frequency (%)
/	168	9.5%
t	144	8.1%
a	120	6.8%
s	96	5.4%
i	96	5.4%
o	96	5.4%
p	72	4.1%
c	72	4.1%
.	72	4.1%
g	72	4.1%
Other values (23)	768	43.2%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	1272	71.6%
Other Punctuation	264	14.9%
Decimal Number	216	12.2%
Connector Punctuation	24	1.4%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
t	144	11.3%
a	120	9.4%
s	96	7.5%
i	96	7.5%
o	96	7.5%
p	72	5.7%
c	72	5.7%
g	72	5.7%
m	72	5.7%
e	72	5.7%
Other values (9)	360	28.3%

Decimal Number

Value	Count	Frequency (%)
2	44	20.4%
7	36	16.7%
8	27	12.5%
9	22	10.2%
3	21	9.7%
6	18	8.3%
1	17	7.9%
0	15	6.9%
5	11	5.1%
4	5	2.3%

Other Punctuation

Value	Count	Frequency (%)
/	168	63.6%
.	72	27.3%
:	24	9.1%

Connector Punctuation

Value	Count	Frequency (%)
_	24	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	1272	71.6%
Common	504	28.4%

Most frequent character per script

Latin

Value	Count	Frequency (%)
t	144	11.3%
a	120	9.4%
s	96	7.5%
i	96	7.5%
o	96	7.5%
p	72	5.7%
c	72	5.7%
g	72	5.7%
m	72	5.7%
e	72	5.7%
Other values (9)	360	28.3%

Common

Value	Count	Frequency (%)
/	168	33.3%
.	72	14.3%
2	44	8.7%
7	36	7.1%
8	27	5.4%
:	24	4.8%
_	24	4.8%
9	22	4.4%
3	21	4.2%
6	18	3.6%
Other values (4)	48	9.5%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1776	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
/	168	9.5%
t	144	8.1%
a	120	6.8%
s	96	5.4%
i	96	5.4%
o	96	5.4%
p	72	4.1%
c	72	4.1%
.	72	4.1%
g	72	4.1%
Other values (23)	768	43.2%

_links.self.href
Categorical

HIGH CARDINALITY
HIGH CORRELATION
UNIFORM
UNIQUE

Distinct	88
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Memory size	832.0 B

https://api.tvmaze.com/episodes/2179612	1
https://api.tvmaze.com/episodes/1986871	1
https://api.tvmaze.com/episodes/1985464	1
https://api.tvmaze.com/episodes/1985463	1
https://api.tvmaze.com/episodes/1984949	1
Other values (83)	83

Length

Max length	39
Median length	39
Mean length	39
Min length	39

Characters and Unicode

Total characters	3432
Distinct characters	26
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	88 ?
Unique (%)	100.0%

Sample

1st row	https://api.tvmaze.com/episodes/2179612
2nd row	https://api.tvmaze.com/episodes/1986871
3rd row	https://api.tvmaze.com/episodes/1983257
4th row	https://api.tvmaze.com/episodes/1983258
5th row	https://api.tvmaze.com/episodes/1971569

Common Values

Value	Count	Frequency (%)
https://api.tvmaze.com/episodes/2179612	1	1.1%
https://api.tvmaze.com/episodes/1986871	1	1.1%
https://api.tvmaze.com/episodes/1985464	1	1.1%
https://api.tvmaze.com/episodes/1985463	1	1.1%
https://api.tvmaze.com/episodes/1984949	1	1.1%
https://api.tvmaze.com/episodes/1984948	1	1.1%
https://api.tvmaze.com/episodes/1977639	1	1.1%
https://api.tvmaze.com/episodes/1977638	1	1.1%
https://api.tvmaze.com/episodes/1976194	1	1.1%
https://api.tvmaze.com/episodes/1976193	1	1.1%
Other values (78)	78	88.6%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
https://api.tvmaze.com/episodes/2179612	1	1.1%
https://api.tvmaze.com/episodes/1986871	1	1.1%
https://api.tvmaze.com/episodes/1983257	1	1.1%
https://api.tvmaze.com/episodes/1983258	1	1.1%
https://api.tvmaze.com/episodes/1971569	1	1.1%
https://api.tvmaze.com/episodes/1985044	1	1.1%
https://api.tvmaze.com/episodes/2386105	1	1.1%
https://api.tvmaze.com/episodes/1985616	1	1.1%
https://api.tvmaze.com/episodes/2096296	1	1.1%
https://api.tvmaze.com/episodes/2030019	1	1.1%
Other values (78)	78	88.6%

Most occurring characters

Value	Count	Frequency (%)
/	352	10.3%
p	264	7.7%
s	264	7.7%
e	264	7.7%
t	264	7.7%
o	176	5.1%
a	176	5.1%
i	176	5.1%
.	176	5.1%
m	176	5.1%
Other values (16)	1144	33.3%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	2200	64.1%
Other Punctuation	616	17.9%
Decimal Number	616	17.9%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
p	264	12.0%
s	264	12.0%
e	264	12.0%
t	264	12.0%
o	176	8.0%
a	176	8.0%
i	176	8.0%
m	176	8.0%
h	88	4.0%
d	88	4.0%
Other values (3)	264	12.0%

Decimal Number

Value	Count	Frequency (%)
1	115	18.7%
9	104	16.9%
2	61	9.9%
3	54	8.8%
6	50	8.1%
7	49	8.0%
0	49	8.0%
8	47	7.6%
4	44	7.1%
5	43	7.0%

Other Punctuation

Value	Count	Frequency (%)
/	352	57.1%
.	176	28.6%
:	88	14.3%

Most occurring scripts

Value	Count	Frequency (%)
Latin	2200	64.1%
Common	1232	35.9%

Most frequent character per script

Common

Value	Count	Frequency (%)
/	352	28.6%
.	176	14.3%
1	115	9.3%
9	104	8.4%
:	88	7.1%
2	61	5.0%
3	54	4.4%
6	50	4.1%
7	49	4.0%
0	49	4.0%
Other values (3)	134	10.9%

Latin

Value	Count	Frequency (%)
p	264	12.0%
s	264	12.0%
e	264	12.0%
t	264	12.0%
o	176	8.0%
a	176	8.0%
i	176	8.0%
m	176	8.0%
h	88	4.0%
d	88	4.0%
Other values (3)	264	12.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	3432	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
/	352	10.3%
p	264	7.7%
s	264	7.7%
e	264	7.7%
t	264	7.7%
o	176	5.1%
a	176	5.1%
i	176	5.1%
.	176	5.1%
m	176	5.1%
Other values (16)	1144	33.3%

_embedded.show.id
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	67
Distinct (%)	76.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	47043.55682

Minimum	2266
Maximum	61755
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	832.0 B

Quantile statistics

Minimum	2266
5-th percentile	17925.05
Q1	45155
median	51992
Q3	52639
95-th percentile	57860.6
Maximum	61755
Range	59489
Interquartile range (IQR)	7484

Descriptive statistics

Standard deviation	11802.48254
Coefficient of variation (CV)	0.2508841452
Kurtosis	4.800320001
Mean	47043.55682
Median Absolute Deviation (MAD)	3418
Skewness	-2.171789951
Sum	4139833
Variance	139298594.1
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
52639	5	5.7%
45155	4	4.5%
51992	4	4.5%
52108	2	2.3%
58689	2	2.3%
15250	2	2.3%
52780	2	2.3%
52421	2	2.3%
52400	2	2.3%
52159	2	2.3%
Other values (57)	61	69.3%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
2266	1	1.1%
2504	1	1.1%
12906	1	1.1%
15250	2	2.3%
22893	1	1.1%
26268	1	1.1%
27055	1	1.1%
28346	1	1.1%
33944	1	1.1%
34060	1	1.1%

Value	Count	Frequency (%)
61755	1	1.1%
58689	2	2.3%
58367	1	1.1%
57953	1	1.1%
57689	1	1.1%
57478	1	1.1%
57030	2	2.3%
56746	1	1.1%
56531	1	1.1%
55919	1	1.1%

_embedded.show.url
Categorical

HIGH CARDINALITY
HIGH CORRELATION
UNIFORM

Distinct	67
Distinct (%)	76.1%
Missing	0
Missing (%)	0.0%
Memory size	832.0 B

https://www.tvmaze.com/shows/52639/puckers	5
https://www.tvmaze.com/shows/45155/canal-boat-diaries	4
https://www.tvmaze.com/shows/51992/the-surgeons-cut	4
https://www.tvmaze.com/shows/52108/psych-hunter	2
https://www.tvmaze.com/shows/58689/my-supernatural-power	2
Other values (62)	71

Length

Max length	74
Median length	60.5
Mean length	50.17045455
Min length	41

Characters and Unicode

Total characters	4415
Distinct characters	39
Distinct categories	4 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	53 ?
Unique (%)	60.2%

Sample

1st row	https://www.tvmaze.com/shows/49630/kontakty
2nd row	https://www.tvmaze.com/shows/52198/kotiki
3rd row	https://www.tvmaze.com/shows/52316/mertvye-dusi
4th row	https://www.tvmaze.com/shows/52316/mertvye-dusi
5th row	https://www.tvmaze.com/shows/47207/mermaid-prince

Common Values

Value	Count	Frequency (%)
https://www.tvmaze.com/shows/52639/puckers	5	5.7%
https://www.tvmaze.com/shows/45155/canal-boat-diaries	4	4.5%
https://www.tvmaze.com/shows/51992/the-surgeons-cut	4	4.5%
https://www.tvmaze.com/shows/52108/psych-hunter	2	2.3%
https://www.tvmaze.com/shows/58689/my-supernatural-power	2	2.3%
https://www.tvmaze.com/shows/15250/the-young-turks	2	2.3%
https://www.tvmaze.com/shows/52780/mermaid-prince	2	2.3%
https://www.tvmaze.com/shows/52421/you-complete-me	2	2.3%
https://www.tvmaze.com/shows/52400/dream-detective	2	2.3%
https://www.tvmaze.com/shows/52159/to-love	2	2.3%
Other values (57)	61	69.3%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
https://www.tvmaze.com/shows/52639/puckers	5	5.7%
https://www.tvmaze.com/shows/51992/the-surgeons-cut	4	4.5%
https://www.tvmaze.com/shows/45155/canal-boat-diaries	4	4.5%
https://www.tvmaze.com/shows/52400/dream-detective	2	2.3%
https://www.tvmaze.com/shows/52104/twisted-fate-of-love	2	2.3%
https://www.tvmaze.com/shows/52107/new-face	2	2.3%
https://www.tvmaze.com/shows/57030/gjor-det-sjol	2	2.3%
https://www.tvmaze.com/shows/52159/to-love	2	2.3%
https://www.tvmaze.com/shows/52316/mertvye-dusi	2	2.3%
https://www.tvmaze.com/shows/52421/you-complete-me	2	2.3%
Other values (57)	61	69.3%

Most occurring characters

Value	Count	Frequency (%)
/	440	10.0%
w	366	8.3%
t	351	8.0%
s	350	7.9%
o	253	5.7%
e	232	5.3%
h	220	5.0%
m	220	5.0%
a	181	4.1%
.	176	4.0%
Other values (29)	1626	36.8%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	3112	70.5%
Other Punctuation	704	15.9%
Decimal Number	445	10.1%
Dash Punctuation	154	3.5%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
w	366	11.8%
t	351	11.3%
s	350	11.2%
o	253	8.1%
e	232	7.5%
h	220	7.1%
m	220	7.1%
a	181	5.8%
c	128	4.1%
p	114	3.7%
Other values (15)	697	22.4%

Decimal Number

Value	Count	Frequency (%)
5	88	19.8%
2	54	12.1%
4	51	11.5%
1	42	9.4%
0	41	9.2%
9	39	8.8%
3	36	8.1%
6	34	7.6%
7	33	7.4%
8	27	6.1%

Other Punctuation

Value	Count	Frequency (%)
/	440	62.5%
.	176	25.0%
:	88	12.5%

Dash Punctuation

Value	Count	Frequency (%)
-	154	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	3112	70.5%
Common	1303	29.5%

Most frequent character per script

Latin

Value	Count	Frequency (%)
w	366	11.8%
t	351	11.3%
s	350	11.2%
o	253	8.1%
e	232	7.5%
h	220	7.1%
m	220	7.1%
a	181	5.8%
c	128	4.1%
p	114	3.7%
Other values (15)	697	22.4%

Common

Value	Count	Frequency (%)
/	440	33.8%
.	176	13.5%
-	154	11.8%
5	88	6.8%
:	88	6.8%
2	54	4.1%
4	51	3.9%
1	42	3.2%
0	41	3.1%
9	39	3.0%
Other values (4)	130	10.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	4415	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
/	440	10.0%
w	366	8.3%
t	351	8.0%
s	350	7.9%
o	253	5.7%
e	232	5.3%
h	220	5.0%
m	220	5.0%
a	181	4.1%
.	176	4.0%
Other values (29)	1626	36.8%

_embedded.show.name
Categorical

HIGH CARDINALITY
HIGH CORRELATION
UNIFORM

Distinct	66
Distinct (%)	75.0%
Missing	0
Missing (%)	0.0%
Memory size	832.0 B

Puckers	5
Canal Boat Diaries	4
The Surgeon's Cut	4
Mermaid Prince	3
New Face	2
Other values (61)	70

Length

Max length	40
Median length	26
Mean length	15.44318182
Min length	6

Characters and Unicode

Total characters	1359
Distinct characters	99
Distinct categories	7 ?
Distinct scripts	3 ?
Distinct blocks	4 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	52 ?
Unique (%)	59.1%

Sample

1st row	Контакты
2nd row	Котики
3rd row	Мёртвые души
4th row	Мёртвые души
5th row	Mermaid Prince

Common Values

Value	Count	Frequency (%)
Puckers	5	5.7%
Canal Boat Diaries	4	4.5%
The Surgeon's Cut	4	4.5%
Mermaid Prince	3	3.4%
New Face	2	2.3%
My Supernatural Power	2	2.3%
The Young Turks	2	2.3%
You Complete Me	2	2.3%
Dream Detective	2	2.3%
To Love	2	2.3%
Other values (56)	60	68.2%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
the	13	5.3%
puckers	5	2.1%
cut	4	1.6%
of	4	1.6%
love	4	1.6%
canal	4	1.6%
surgeon's	4	1.6%
diaries	4	1.6%
boat	4	1.6%
prince	3	1.2%
Other values (162)	194	79.8%

Most occurring characters

Value	Count	Frequency (%)
	155	11.4%
e	129	9.5%
a	77	5.7%
n	64	4.7%
r	64	4.7%
i	61	4.5%
o	58	4.3%
s	55	4.0%
t	53	3.9%
u	49	3.6%
Other values (89)	594	43.7%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	960	70.6%
Uppercase Letter	217	16.0%
Space Separator	155	11.4%
Other Punctuation	17	1.3%
Decimal Number	7	0.5%
Currency Symbol	2	0.1%
Close Punctuation	1	0.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	129	13.4%
a	77	8.0%
n	64	6.7%
r	64	6.7%
i	61	6.4%
o	58	6.0%
s	55	5.7%
t	53	5.5%
u	49	5.1%
l	37	3.9%
Other values (42)	313	32.6%

Uppercase Letter

Value	Count	Frequency (%)
T	24	11.1%
S	22	10.1%
C	18	8.3%
M	17	7.8%
P	14	6.5%
B	12	5.5%
D	12	5.5%
Y	11	5.1%
F	9	4.1%
L	8	3.7%
Other values (21)	70	32.3%

Other Punctuation

Value	Count	Frequency (%)
'	7	41.2%
:	4	23.5%
.	1	5.9%
&	1	5.9%
,	1	5.9%
?	1	5.9%
@	1	5.9%
#	1	5.9%

Decimal Number

Value	Count	Frequency (%)
0	3	42.9%
2	2	28.6%
1	1	14.3%
5	1	14.3%

Currency Symbol

Value	Count	Frequency (%)
$	1	50.0%
₴	1	50.0%

Space Separator

Value	Count	Frequency (%)
	155	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	1	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	1056	77.7%
Common	182	13.4%
Cyrillic	121	8.9%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	129	12.2%
a	77	7.3%
n	64	6.1%
r	64	6.1%
i	61	5.8%
o	58	5.5%
s	55	5.2%
t	53	5.0%
u	49	4.6%
l	37	3.5%
Other values (39)	409	38.7%

Cyrillic

Value	Count	Frequency (%)
о	10	8.3%
т	10	8.3%
р	9	7.4%
и	8	6.6%
к	8	6.6%
а	8	6.6%
е	8	6.6%
у	5	4.1%
н	4	3.3%
з	4	3.3%
Other values (24)	47	38.8%

Common

Value	Count	Frequency (%)
	155	85.2%
'	7	3.8%
:	4	2.2%
0	3	1.6%
2	2	1.1%
1	1	0.5%
.	1	0.5%
5	1	0.5%
&	1	0.5%
,	1	0.5%
Other values (6)	6	3.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1230	90.5%
Cyrillic	121	8.9%
None	7	0.5%
Currency Symbols	1	0.1%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	155	12.6%
e	129	10.5%
a	77	6.3%
n	64	5.2%
r	64	5.2%
i	61	5.0%
o	58	4.7%
s	55	4.5%
t	53	4.3%
u	49	4.0%
Other values (53)	465	37.8%

Cyrillic

Value	Count	Frequency (%)
о	10	8.3%
т	10	8.3%
р	9	7.4%
и	8	6.6%
к	8	6.6%
а	8	6.6%
е	8	6.6%
у	5	4.1%
н	4	3.3%
з	4	3.3%
Other values (24)	47	38.8%

None

Value	Count	Frequency (%)
ø	7	100.0%

Currency Symbols

Value	Count	Frequency (%)
₴	1	100.0%

_embedded.show.type
Categorical

HIGH CORRELATION

Distinct	9
Distinct (%)	10.2%
Missing	0
Missing (%)	0.0%
Memory size	832.0 B

Scripted	34
Documentary	13
Animation	11
Talk Show	11
Reality	9
Other values (4)	10

Length

Max length	11
Median length	9
Mean length	8.454545455
Min length	4

Characters and Unicode

Total characters	744
Distinct characters	27
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1 ?
Unique (%)	1.1%

Sample

1st row	Game Show
2nd row	Scripted
3rd row	Scripted
4th row	Scripted
5th row	Scripted

Common Values

Value	Count	Frequency (%)
Scripted	34	38.6%
Documentary	13	14.8%
Animation	11	12.5%
Talk Show	11	12.5%
Reality	9	10.2%
Game Show	4	4.5%
News	3	3.4%
Variety	2	2.3%
Sports	1	1.1%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
scripted	34	33.0%
show	15	14.6%
documentary	13	12.6%
animation	11	10.7%
talk	11	10.7%
reality	9	8.7%
game	4	3.9%
news	3	2.9%
variety	2	1.9%
sports	1	1.0%

Most occurring characters

Value	Count	Frequency (%)
t	70	9.4%
i	67	9.0%
e	65	8.7%
S	50	6.7%
a	50	6.7%
r	50	6.7%
c	47	6.3%
o	40	5.4%
p	35	4.7%
n	35	4.7%
Other values (17)	235	31.6%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	626	84.1%
Uppercase Letter	103	13.8%
Space Separator	15	2.0%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
t	70	11.2%
i	67	10.7%
e	65	10.4%
a	50	8.0%
r	50	8.0%
c	47	7.5%
o	40	6.4%
p	35	5.6%
n	35	5.6%
d	34	5.4%
Other values (8)	133	21.2%

Uppercase Letter

Value	Count	Frequency (%)
S	50	48.5%
D	13	12.6%
T	11	10.7%
A	11	10.7%
R	9	8.7%
G	4	3.9%
N	3	2.9%
V	2	1.9%

Space Separator

Value	Count	Frequency (%)
	15	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	729	98.0%
Common	15	2.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
t	70	9.6%
i	67	9.2%
e	65	8.9%
S	50	6.9%
a	50	6.9%
r	50	6.9%
c	47	6.4%
o	40	5.5%
p	35	4.8%
n	35	4.8%
Other values (16)	220	30.2%

Common

Value	Count	Frequency (%)
	15	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	744	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
t	70	9.4%
i	67	9.0%
e	65	8.7%
S	50	6.7%
a	50	6.7%
r	50	6.7%
c	47	6.3%
o	40	5.4%
p	35	4.7%
n	35	4.7%
Other values (17)	235	31.6%

_embedded.show.language
Categorical

HIGH CORRELATION
MISSING

Distinct	16
Distinct (%)	18.6%
Missing	2
Missing (%)	2.3%
Memory size	832.0 B

English	23
Chinese	22
Norwegian	13
Russian	8
Thai	4
Other values (11)	16

Length

Max length	10
Median length	7
Mean length	7.162790698
Min length	4

Characters and Unicode

Total characters	616
Distinct characters	33
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	8 ?
Unique (%)	9.3%

Sample

1st row	Russian
2nd row	Russian
3rd row	Russian
4th row	Russian
5th row	Korean

Common Values

Value	Count	Frequency (%)
English	23	26.1%
Chinese	22	25.0%
Norwegian	13	14.8%
Russian	8	9.1%
Thai	4	4.5%
Arabic	3	3.4%
Korean	3	3.4%
Ukrainian	2	2.3%
Dutch	1	1.1%
Portuguese	1	1.1%
Other values (6)	6	6.8%
(Missing)	2	2.3%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
english	23	26.7%
chinese	22	25.6%
norwegian	13	15.1%
russian	8	9.3%
thai	4	4.7%
arabic	3	3.5%
korean	3	3.5%
ukrainian	2	2.3%
dutch	1	1.2%
portuguese	1	1.2%
Other values (6)	6	7.0%

Most occurring characters

Value	Count	Frequency (%)
i	80	13.0%
n	78	12.7%
e	66	10.7%
s	65	10.6%
h	54	8.8%
a	42	6.8%
g	38	6.2%
r	24	3.9%
E	23	3.7%
l	23	3.7%
Other values (23)	123	20.0%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	530	86.0%
Uppercase Letter	86	14.0%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
i	80	15.1%
n	78	14.7%
e	66	12.5%
s	65	12.3%
h	54	10.2%
a	42	7.9%
g	38	7.2%
r	24	4.5%
l	23	4.3%
o	17	3.2%
Other values (9)	43	8.1%

Uppercase Letter

Value	Count	Frequency (%)
E	23	26.7%
C	22	25.6%
N	13	15.1%
R	8	9.3%
K	4	4.7%
T	4	4.7%
A	3	3.5%
U	2	2.3%
S	2	2.3%
D	1	1.2%
Other values (4)	4	4.7%

Most occurring scripts

Value	Count	Frequency (%)
Latin	616	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
i	80	13.0%
n	78	12.7%
e	66	10.7%
s	65	10.6%
h	54	8.8%
a	42	6.8%
g	38	6.2%
r	24	3.9%
E	23	3.7%
l	23	3.7%
Other values (23)	123	20.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	616	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
i	80	13.0%
n	78	12.7%
e	66	10.7%
s	65	10.6%
h	54	8.8%
a	42	6.8%
g	38	6.2%
r	24	3.9%
E	23	3.7%
l	23	3.7%
Other values (23)	123	20.0%

_embedded.show.genres
Unsupported

REJECTED
UNSUPPORTED

Missing	0
Missing (%)	0.0%
Memory size	832.0 B

_embedded.show.status
Categorical

HIGH CORRELATION

Distinct	3
Distinct (%)	3.4%
Missing	0
Missing (%)	0.0%
Memory size	832.0 B

Running	40
Ended	38
To Be Determined	10

Length

Max length	16
Median length	7
Mean length	7.159090909
Min length	5

Characters and Unicode

Total characters	630
Distinct characters	16
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Running
2nd row	Ended
3rd row	Ended
4th row	Ended
5th row	Ended

Common Values

Value	Count	Frequency (%)
Running	40	45.5%
Ended	38	43.2%
To Be Determined	10	11.4%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
running	40	37.0%
ended	38	35.2%
to	10	9.3%
be	10	9.3%
determined	10	9.3%

Most occurring characters

Value	Count	Frequency (%)
n	168	26.7%
d	86	13.7%
e	78	12.4%
i	50	7.9%
R	40	6.3%
u	40	6.3%
g	40	6.3%
E	38	6.0%
	20	3.2%
T	10	1.6%
Other values (6)	60	9.5%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	502	79.7%
Uppercase Letter	108	17.1%
Space Separator	20	3.2%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
n	168	33.5%
d	86	17.1%
e	78	15.5%
i	50	10.0%
u	40	8.0%
g	40	8.0%
o	10	2.0%
t	10	2.0%
r	10	2.0%
m	10	2.0%

Uppercase Letter

Value	Count	Frequency (%)
R	40	37.0%
E	38	35.2%
T	10	9.3%
B	10	9.3%
D	10	9.3%

Space Separator

Value	Count	Frequency (%)
	20	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	610	96.8%
Common	20	3.2%

Most frequent character per script

Latin

Value	Count	Frequency (%)
n	168	27.5%
d	86	14.1%
e	78	12.8%
i	50	8.2%
R	40	6.6%
u	40	6.6%
g	40	6.6%
E	38	6.2%
T	10	1.6%
o	10	1.6%
Other values (5)	50	8.2%

Common

Value	Count	Frequency (%)
	20	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	630	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
n	168	26.7%
d	86	13.7%
e	78	12.4%
i	50	7.9%
R	40	6.3%
u	40	6.3%
g	40	6.3%
E	38	6.0%
	20	3.2%
T	10	1.6%
Other values (6)	60	9.5%

_embedded.show.runtime
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	19
Distinct (%)	29.2%
Missing	23
Missing (%)	26.1%
Infinite	0
Infinite (%)	0.0%
Mean	38.32307692

Minimum	2
Maximum	120
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	832.0 B

Quantile statistics

Minimum	2
5-th percentile	5.6
Q1	25
median	30
Q3	45
95-th percentile	90
Maximum	120
Range	118
Interquartile range (IQR)	20

Descriptive statistics

Standard deviation	25.24263983
Coefficient of variation (CV)	0.6586798831
Kurtosis	3.535780738
Mean	38.32307692
Median Absolute Deviation (MAD)	15
Skewness	1.641579608
Sum	2491
Variance	637.1908654
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=19)

Value	Count	Frequency (%)
45	17	19.3%
30	14	15.9%
60	4	4.5%
25	4	4.5%
20	4	4.5%
12	3	3.4%
120	3	3.4%
5	2	2.3%
15	2	2.3%
43	2	2.3%
Other values (9)	10	11.4%
(Missing)	23	26.1%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
2	1	1.1%
4	1	1.1%
5	2	2.3%
8	1	1.1%
12	3	3.4%
15	2	2.3%
19	1	1.1%
20	4	4.5%
23	1	1.1%
25	4	4.5%

Value	Count	Frequency (%)
120	3	3.4%
90	2	2.3%
60	4	4.5%
55	1	1.1%
45	17	19.3%
43	2	2.3%
40	1	1.1%
33	1	1.1%
30	14	15.9%
25	4	4.5%

_embedded.show.averageRuntime
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	33
Distinct (%)	38.8%
Missing	3
Missing (%)	3.4%
Infinite	0
Infinite (%)	0.0%
Mean	35.96470588

Minimum	2
Maximum	120
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	832.0 B

Quantile statistics

Minimum	2
5-th percentile	5
Q1	20
median	31
Q3	45
95-th percentile	87.4
Maximum	120
Range	118
Interquartile range (IQR)	25

Descriptive statistics

Standard deviation	24.39137585
Coefficient of variation (CV)	0.678203123
Kurtosis	2.826998301
Mean	35.96470588
Median Absolute Deviation (MAD)	14
Skewness	1.39097967
Sum	3057
Variance	594.9392157
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=33)

Value	Count	Frequency (%)
45	16	18.2%
30	7	8.0%
31	5	5.7%
20	5	5.7%
5	4	4.5%
60	4	4.5%
25	4	4.5%
12	4	4.5%
54	4	4.5%
43	3	3.4%
Other values (23)	29	33.0%
(Missing)	3	3.4%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
2	1	1.1%
4	1	1.1%
5	4	4.5%
6	1	1.1%
7	2	2.3%
11	2	2.3%
12	4	4.5%
13	1	1.1%
14	1	1.1%
15	2	2.3%

Value	Count	Frequency (%)
120	2	2.3%
110	1	1.1%
91	1	1.1%
90	1	1.1%
77	1	1.1%
60	4	4.5%
59	1	1.1%
54	4	4.5%
45	16	18.2%
43	3	3.4%

_embedded.show.premiered
Categorical

HIGH CARDINALITY
HIGH CORRELATION

Distinct	59
Distinct (%)	67.0%
Missing	0
Missing (%)	0.0%
Memory size	832.0 B

2020-12-09	12
2020-11-23	4
2019-11-18	4
2020-12-08	3
2020-11-18	3
Other values (54)	62

Length

Max length	10
Median length	10
Mean length	10
Min length	10

Characters and Unicode

Total characters	880
Distinct characters	11
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	46 ?
Unique (%)	52.3%

Sample

1st row	2019-04-03
2nd row	2020-11-30
3rd row	2020-12-09
4th row	2020-12-09
5th row	2020-04-14

Common Values

Value	Count	Frequency (%)
2020-12-09	12	13.6%
2020-11-23	4	4.5%
2019-11-18	4	4.5%
2020-12-08	3	3.4%
2020-11-18	3	3.4%
2020-11-19	2	2.3%
2020-12-02	2	2.3%
2013-12-24	2	2.3%
2020-07-08	2	2.3%
2020-11-04	2	2.3%
Other values (49)	52	59.1%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
2020-12-09	12	13.6%
2019-11-18	4	4.5%
2020-11-23	4	4.5%
2020-12-08	3	3.4%
2020-11-18	3	3.4%
2020-11-04	2	2.3%
2020-11-30	2	2.3%
2020-11-25	2	2.3%
2020-11-24	2	2.3%
2020-07-08	2	2.3%
Other values (49)	52	59.1%

Most occurring characters

Value	Count	Frequency (%)
0	224	25.5%
2	195	22.2%
-	176	20.0%
1	150	17.0%
9	41	4.7%
8	25	2.8%
4	21	2.4%
3	16	1.8%
7	13	1.5%
5	10	1.1%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	704	80.0%
Dash Punctuation	176	20.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	224	31.8%
2	195	27.7%
1	150	21.3%
9	41	5.8%
8	25	3.6%
4	21	3.0%
3	16	2.3%
7	13	1.8%
5	10	1.4%
6	9	1.3%

Dash Punctuation

Value	Count	Frequency (%)
-	176	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	880	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	224	25.5%
2	195	22.2%
-	176	20.0%
1	150	17.0%
9	41	4.7%
8	25	2.8%
4	21	2.4%
3	16	1.8%
7	13	1.5%
5	10	1.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	880	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	224	25.5%
2	195	22.2%
-	176	20.0%
1	150	17.0%
9	41	4.7%
8	25	2.8%
4	21	2.4%
3	16	1.8%
7	13	1.5%
5	10	1.1%

_embedded.show.ended
Categorical

HIGH CORRELATION
MISSING

Distinct	16
Distinct (%)	42.1%
Missing	50
Missing (%)	56.8%
Memory size	832.0 B

2020-12-09	8
2020-12-16	7
2020-12-30	5
2021-01-27	2
2020-12-22	2
Other values (11)	14

Length

Max length	10
Median length	10
Mean length	10
Min length	10

Characters and Unicode

Total characters	380
Distinct characters	11
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	8 ?
Unique (%)	21.1%

Sample

1st row	2020-12-11
2nd row	2020-12-16
3rd row	2020-12-16
4th row	2020-12-10
5th row	2021-01-06

Common Values

Value	Count	Frequency (%)
2020-12-09	8	9.1%
2020-12-16	7	8.0%
2020-12-30	5	5.7%
2021-01-27	2	2.3%
2020-12-22	2	2.3%
2020-12-23	2	2.3%
2021-01-05	2	2.3%
2021-01-14	2	2.3%
2020-12-10	1	1.1%
2021-01-06	1	1.1%
Other values (6)	6	6.8%
(Missing)	50	56.8%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
2020-12-09	8	21.1%
2020-12-16	7	18.4%
2020-12-30	5	13.2%
2021-01-27	2	5.3%
2020-12-22	2	5.3%
2020-12-23	2	5.3%
2021-01-05	2	5.3%
2021-01-14	2	5.3%
2020-12-10	1	2.6%
2021-01-06	1	2.6%
Other values (6)	6	15.8%

Most occurring characters

Value	Count	Frequency (%)
2	116	30.5%
0	94	24.7%
-	76	20.0%
1	58	15.3%
9	10	2.6%
6	9	2.4%
3	8	2.1%
5	3	0.8%
4	3	0.8%
7	2	0.5%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	304	80.0%
Dash Punctuation	76	20.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
2	116	38.2%
0	94	30.9%
1	58	19.1%
9	10	3.3%
6	9	3.0%
3	8	2.6%
5	3	1.0%
4	3	1.0%
7	2	0.7%
8	1	0.3%

Dash Punctuation

Value	Count	Frequency (%)
-	76	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	380	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
2	116	30.5%
0	94	24.7%
-	76	20.0%
1	58	15.3%
9	10	2.6%
6	9	2.4%
3	8	2.1%
5	3	0.8%
4	3	0.8%
7	2	0.5%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	380	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
2	116	30.5%
0	94	24.7%
-	76	20.0%
1	58	15.3%
9	10	2.6%
6	9	2.4%
3	8	2.1%
5	3	0.8%
4	3	0.8%
7	2	0.5%

_embedded.show.officialSite
Categorical

HIGH CARDINALITY
HIGH CORRELATION
MISSING
UNIFORM

Distinct	57
Distinct (%)	76.0%
Missing	13
Missing (%)	14.8%
Memory size	832.0 B

https://tv.nrk.no/serie/puckers	5
https://www.netflix.com/title/81004466	4
https://www.bbc.co.uk/programmes/m000bks0	4
https://www.iqiyi.com/a_19rrhskr95.html	2
https://so.youku.com/search_video/q_%20%E6%9C%80%E5%88%9D%E7%9A%84%E7%9B%B8%E9%81%87?searchfrom=1	2
Other values (52)	58

Length

Max length	250
Median length	70
Mean length	50.02666667
Min length	18

Characters and Unicode

Total characters	3752
Distinct characters	74
Distinct categories	7 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	46 ?
Unique (%)	61.3%

Sample

1st row	https://www.youtube.com/playlist?list=PLZ1FUdedsrSJubWkFFh5vKHzawzQk1mYI
2nd row	http://epic-media.ru/project/kotiki
3rd row	https://www.ivi.ru/watch/mertvyie-dushi-2020
4th row	https://www.ivi.ru/watch/mertvyie-dushi-2020
5th row	https://v.qq.com/detail/a/awnia0n2erqryf3.html

Common Values

Value	Count	Frequency (%)
https://tv.nrk.no/serie/puckers	5	5.7%
https://www.netflix.com/title/81004466	4	4.5%
https://www.bbc.co.uk/programmes/m000bks0	4	4.5%
https://www.iqiyi.com/a_19rrhskr95.html	2	2.3%
https://so.youku.com/search_video/q_%20%E6%9C%80%E5%88%9D%E7%9A%84%E7%9B%B8%E9%81%87?searchfrom=1	2	2.3%
https://www.tytnetwork.com	2	2.3%
https://v.qq.com/detail/m/mzc00200ur8p8zp.html	2	2.3%
https://tv.nrk.no/serie/gjoer-det-sjoel	2	2.3%
https://v.qq.com/detail/m/mzc00200tu76tos.html	2	2.3%
https://v.qq.com/x/search/?q=+%E4%BB%8A%E5%A4%95%E4%BD%95%E5%A4%95&stag=0&smartbox_ab=	2	2.3%
Other values (47)	48	54.5%
(Missing)	13	14.8%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
https://tv.nrk.no/serie/puckers	5	6.7%
https://www.bbc.co.uk/programmes/m000bks0	4	5.3%
https://www.netflix.com/title/81004466	4	5.3%
https://tv.nrk.no/serie/gjoer-det-sjoel	2	2.7%
https://v.qq.com/x/search/?q=+%e4%bb%8a%e5%a4%95%e4%bd%95%e5%a4%95&stag=0&smartbox_ab	2	2.7%
https://v.qq.com/detail/m/mzc00200tu76tos.html	2	2.7%
https://www.ivi.ru/watch/mertvyie-dushi-2020	2	2.7%
https://v.qq.com/detail/m/mzc00200ur8p8zp.html	2	2.7%
https://www.tytnetwork.com	2	2.7%
https://so.youku.com/search_video/q_%20%e6%9c%80%e5%88%9d%e7%9a%84%e7%9b%b8%e9%81%87?searchfrom=1	2	2.7%
Other values (47)	48	64.0%

Most occurring characters

Value	Count	Frequency (%)
/	310	8.3%
t	286	7.6%
s	189	5.0%
e	178	4.7%
.	154	4.1%
o	147	3.9%
h	139	3.7%
%	131	3.5%
w	127	3.4%
r	125	3.3%
Other values (64)	1966	52.4%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	2353	62.7%
Other Punctuation	686	18.3%
Decimal Number	390	10.4%
Uppercase Letter	248	6.6%
Dash Punctuation	46	1.2%
Math Symbol	16	0.4%
Connector Punctuation	13	0.3%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
t	286	12.2%
s	189	8.0%
e	178	7.6%
o	147	6.2%
h	139	5.9%
w	127	5.4%
r	125	5.3%
p	120	5.1%
m	118	5.0%
i	115	4.9%
Other values (16)	809	34.4%

Uppercase Letter

Value	Count	Frequency (%)
E	48	19.4%
B	47	19.0%
A	23	9.3%
Y	10	4.0%
C	10	4.0%
Q	9	3.6%
P	8	3.2%
S	8	3.2%
H	7	2.8%
F	7	2.8%
Other values (16)	71	28.6%

Decimal Number

Value	Count	Frequency (%)
0	92	23.6%
8	64	16.4%
9	43	11.0%
1	33	8.5%
4	32	8.2%
6	29	7.4%
5	29	7.4%
2	29	7.4%
7	21	5.4%
3	18	4.6%

Other Punctuation

Value	Count	Frequency (%)
/	310	45.2%
.	154	22.4%
%	131	19.1%
:	75	10.9%
?	9	1.3%
&	5	0.7%
#	1	0.1%
!	1	0.1%

Math Symbol

Value	Count	Frequency (%)
=	14	87.5%
+	2	12.5%

Dash Punctuation

Value	Count	Frequency (%)
-	46	100.0%

Connector Punctuation

Value	Count	Frequency (%)
_	13	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	2601	69.3%
Common	1151	30.7%

Most frequent character per script

Latin

Value	Count	Frequency (%)
t	286	11.0%
s	189	7.3%
e	178	6.8%
o	147	5.7%
h	139	5.3%
w	127	4.9%
r	125	4.8%
p	120	4.6%
m	118	4.5%
i	115	4.4%
Other values (42)	1057	40.6%

Common

Value	Count	Frequency (%)
/	310	26.9%
.	154	13.4%
%	131	11.4%
0	92	8.0%
:	75	6.5%
8	64	5.6%
-	46	4.0%
9	43	3.7%
1	33	2.9%
4	32	2.8%
Other values (12)	171	14.9%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	3752	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
/	310	8.3%
t	286	7.6%
s	189	5.0%
e	178	4.7%
.	154	4.1%
o	147	3.9%
h	139	3.7%
%	131	3.5%
w	127	3.4%
r	125	3.3%
Other values (64)	1966	52.4%

_embedded.show.schedule.time
Categorical

HIGH CORRELATION

Distinct	13
Distinct (%)	14.8%
Missing	0
Missing (%)	0.0%
Memory size	832.0 B

	49
20:00	13
06:00	6
10:00	5
19:30	4
Other values (8)	11

Length

Max length	5
Median length	0
Mean length	2.215909091
Min length	0

Characters and Unicode

Total characters	195
Distinct characters	10
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	5 ?
Unique (%)	5.7%

Sample

1st row
2nd row	10:00
3rd row
4th row
5th row	11:00

Common Values

Value	Count	Frequency (%)
	49	55.7%
20:00	13	14.8%
06:00	6	6.8%
10:00	5	5.7%
19:30	4	4.5%
21:00	2	2.3%
00:00	2	2.3%
19:00	2	2.3%
11:00	1	1.1%
12:00	1	1.1%
Other values (3)	3	3.4%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
20:00	13	33.3%
06:00	6	15.4%
10:00	5	12.8%
19:30	4	10.3%
21:00	2	5.1%
00:00	2	5.1%
19:00	2	5.1%
11:00	1	2.6%
12:00	1	2.6%
17:35	1	2.6%
Other values (2)	2	5.1%

Most occurring characters

Value	Count	Frequency (%)
0	98	50.3%
:	39	20.0%
1	19	9.7%
2	18	9.2%
6	6	3.1%
9	6	3.1%
3	5	2.6%
5	2	1.0%
7	1	0.5%
4	1	0.5%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	156	80.0%
Other Punctuation	39	20.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	98	62.8%
1	19	12.2%
2	18	11.5%
6	6	3.8%
9	6	3.8%
3	5	3.2%
5	2	1.3%
7	1	0.6%
4	1	0.6%

Other Punctuation

Value	Count	Frequency (%)
:	39	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	195	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	98	50.3%
:	39	20.0%
1	19	9.7%
2	18	9.2%
6	6	3.1%
9	6	3.1%
3	5	2.6%
5	2	1.0%
7	1	0.5%
4	1	0.5%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	195	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	98	50.3%
:	39	20.0%
1	19	9.7%
2	18	9.2%
6	6	3.1%
9	6	3.1%
3	5	2.6%
5	2	1.0%
7	1	0.5%
4	1	0.5%

_embedded.show.schedule.days
Unsupported

REJECTED
UNSUPPORTED

Missing	0
Missing (%)	0.0%
Memory size	832.0 B

_embedded.show.rating.average
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	5
Distinct (%)	83.3%
Missing	82
Missing (%)	93.2%
Memory size	832.0 B

7.2	2
5.0	1
6.9	1
7.0	1
8.2	1

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	18
Distinct characters	8
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	4 ?
Unique (%)	66.7%

Sample

1st row	7.2
2nd row	5.0
3rd row	6.9
4th row	7.0
5th row	8.2

Common Values

Value	Count	Frequency (%)
7.2	2	2.3%
5.0	1	1.1%
6.9	1	1.1%
7.0	1	1.1%
8.2	1	1.1%
(Missing)	82	93.2%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
7.2	2	33.3%
5.0	1	16.7%
6.9	1	16.7%
7.0	1	16.7%
8.2	1	16.7%

Most occurring characters

Value	Count	Frequency (%)
.	6	33.3%
7	3	16.7%
2	3	16.7%
0	2	11.1%
5	1	5.6%
6	1	5.6%
9	1	5.6%
8	1	5.6%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	12	66.7%
Other Punctuation	6	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
7	3	25.0%
2	3	25.0%
0	2	16.7%
5	1	8.3%
6	1	8.3%
9	1	8.3%
8	1	8.3%

Other Punctuation

Value	Count	Frequency (%)
.	6	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	18	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
.	6	33.3%
7	3	16.7%
2	3	16.7%
0	2	11.1%
5	1	5.6%
6	1	5.6%
9	1	5.6%
8	1	5.6%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	18	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
.	6	33.3%
7	3	16.7%
2	3	16.7%
0	2	11.1%
5	1	5.6%
6	1	5.6%
9	1	5.6%
8	1	5.6%

_embedded.show.weight
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	42
Distinct (%)	47.7%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	30.23863636

Minimum	3
Maximum	92
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	832.0 B

Quantile statistics

Minimum	3
5-th percentile	3
Q1	13.75
median	22
Q3	45.5
95-th percentile	78
Maximum	92
Range	89
Interquartile range (IQR)	31.75

Descriptive statistics

Standard deviation	23.42019676
Coefficient of variation (CV)	0.7745123319
Kurtosis	-0.03196924586
Mean	30.23863636
Median Absolute Deviation (MAD)	13.5
Skewness	0.9544606131
Sum	2661
Variance	548.5056165
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=42)

Value	Count	Frequency (%)
21	7	8.0%
3	6	6.8%
7	5	5.7%
22	4	4.5%
24	4	4.5%
53	4	4.5%
67	4	4.5%
20	4	4.5%
23	3	3.4%
15	3	3.4%
Other values (32)	44	50.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
3	6	6.8%
4	2	2.3%
5	1	1.1%
6	1	1.1%
7	5	5.7%
8	2	2.3%
9	1	1.1%
10	1	1.1%
11	2	2.3%
13	1	1.1%

Value	Count	Frequency (%)
92	1	1.1%
86	2	2.3%
83	1	1.1%
78	2	2.3%
72	1	1.1%
67	4	4.5%
62	1	1.1%
61	1	1.1%
59	1	1.1%
56	1	1.1%

_embedded.show.network
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing	88
Missing (%)	100.0%
Memory size	832.0 B

_embedded.show.webChannel.id
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	27
Distinct (%)	32.9%
Missing	6
Missing (%)	6.8%
Infinite	0
Infinite (%)	0.0%
Mean	137.5609756

Minimum	1
Maximum	516
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	832.0 B

Quantile statistics

Minimum	1
5-th percentile	1
Q1	21
median	104
Q3	238
95-th percentile	379
Maximum	516
Range	515
Interquartile range (IQR)	217

Descriptive statistics

Standard deviation	131.3684948
Coefficient of variation (CV)	0.9549837387
Kurtosis	0.3823801042
Mean	137.5609756
Median Absolute Deviation (MAD)	83
Skewness	1.083545284
Sum	11280
Variance	17257.68142
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=27)

Value	Count	Frequency (%)
21	16	18.2%
104	13	14.8%
238	9	10.2%
1	6	6.8%
88	4	4.5%
379	3	3.4%
327	3	3.4%
118	3	3.4%
30	2	2.3%
15	2	2.3%
Other values (17)	21	23.9%
(Missing)	6	6.8%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	6	6.8%
15	2	2.3%
20	1	1.1%
21	16	18.2%
30	2	2.3%
51	2	2.3%
67	2	2.3%
83	1	1.1%
88	4	4.5%
99	1	1.1%

Value	Count	Frequency (%)
516	1	1.1%
510	1	1.1%
452	1	1.1%
380	1	1.1%
379	3	3.4%
337	2	2.3%
327	3	3.4%
311	1	1.1%
238	9	10.2%
226	2	2.3%

_embedded.show.webChannel.name
Categorical

HIGH CORRELATION
MISSING

Distinct	27
Distinct (%)	32.9%
Missing	6
Missing (%)	6.8%
Memory size	832.0 B

YouTube	16
Tencent QQ	13
NRK TV	9
Netflix	6
LINE TV	4
Other values (22)	34

Length

Max length	17
Median length	12
Mean length	7.792682927
Min length	3

Characters and Unicode

Total characters	639
Distinct characters	48
Distinct categories	6 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	13 ?
Unique (%)	15.9%

Sample

1st row	YouTube
2nd row	Epic Media
3rd row	ivi
4th row	ivi
5th row	Seezn

Common Values

Value	Count	Frequency (%)
YouTube	16	18.2%
Tencent QQ	13	14.8%
NRK TV	9	10.2%
Netflix	6	6.8%
LINE TV	4	4.5%
Shahid	3	3.4%
TV 2 Play	3	3.4%
Youku	3	3.4%
Naver TVCast	2	2.3%
WWE Network	2	2.3%
Other values (17)	21	23.9%
(Missing)	6	6.8%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
tv	18	14.6%
youtube	16	13.0%
qq	13	10.6%
tencent	13	10.6%
nrk	9	7.3%
netflix	6	4.9%
line	4	3.3%
shahid	3	2.4%
2	3	2.4%
play	3	2.4%
Other values (25)	35	28.5%

Most occurring characters

Value	Count	Frequency (%)
e	65	10.2%
T	50	7.8%
u	45	7.0%
	41	6.4%
n	33	5.2%
o	30	4.7%
t	29	4.5%
i	29	4.5%
Q	28	4.4%
N	24	3.8%
Other values (38)	265	41.5%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	379	59.3%
Uppercase Letter	213	33.3%
Space Separator	41	6.4%
Decimal Number	3	0.5%
Math Symbol	2	0.3%
Other Punctuation	1	0.2%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	65	17.2%
u	45	11.9%
n	33	8.7%
o	30	7.9%
t	29	7.7%
i	29	7.7%
b	21	5.5%
a	19	5.0%
l	18	4.7%
c	16	4.2%
Other values (14)	74	19.5%

Uppercase Letter

Value	Count	Frequency (%)
T	50	23.5%
Q	28	13.1%
N	24	11.3%
Y	21	9.9%
V	21	9.9%
R	10	4.7%
K	9	4.2%
I	8	3.8%
E	7	3.3%
W	7	3.3%
Other values (10)	28	13.1%

Space Separator

Value	Count	Frequency (%)
	41	100.0%

Decimal Number

Value	Count	Frequency (%)
2	3	100.0%

Math Symbol

Value	Count	Frequency (%)
+	2	100.0%

Other Punctuation

Value	Count	Frequency (%)
.	1	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	592	92.6%
Common	47	7.4%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	65	11.0%
T	50	8.4%
u	45	7.6%
n	33	5.6%
o	30	5.1%
t	29	4.9%
i	29	4.9%
Q	28	4.7%
N	24	4.1%
Y	21	3.5%
Other values (34)	238	40.2%

Common

Value	Count	Frequency (%)
	41	87.2%
2	3	6.4%
+	2	4.3%
.	1	2.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	639	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
e	65	10.2%
T	50	7.8%
u	45	7.0%
	41	6.4%
n	33	5.2%
o	30	4.7%
t	29	4.5%
i	29	4.5%
Q	28	4.4%
N	24	3.8%
Other values (38)	265	41.5%

_embedded.show.webChannel.country
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing	88
Missing (%)	100.0%
Memory size	832.0 B

_embedded.show.webChannel.officialSite
Categorical

HIGH CORRELATION
MISSING

Distinct	12
Distinct (%)	23.5%
Missing	37
Missing (%)	42.0%
Memory size	832.0 B

https://www.youtube.com	16
https://v.qq.com/	13
https://www.netflix.com/	6
https://www.linetv.tw/	4
https://www.ivi.ru/	2
Other values (7)	10

Length

Max length	30
Median length	24
Mean length	21.39215686
Min length	17

Characters and Unicode

Total characters	1091
Distinct characters	27
Distinct categories	2 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	4 ?
Unique (%)	7.8%

Sample

1st row	https://www.youtube.com
2nd row	https://www.ivi.ru/
3rd row	https://www.ivi.ru/
4th row	https://www.seezntv.com/
5th row	https://v.qq.com/

Common Values

Value	Count	Frequency (%)
https://www.youtube.com	16	18.2%
https://v.qq.com/	13	14.8%
https://www.netflix.com/	6	6.8%
https://www.linetv.tw/	4	4.5%
https://www.ivi.ru/	2	2.3%
https://tv.naver.com/	2	2.3%
https://w.mgtv.com/	2	2.3%
https://www.iq.com/	2	2.3%
https://www.seezntv.com/	1	1.1%
http://www.wowpresentsplus.com	1	1.1%
Other values (2)	2	2.3%
(Missing)	37	42.0%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
https://www.youtube.com	16	31.4%
https://v.qq.com	13	25.5%
https://www.netflix.com	6	11.8%
https://www.linetv.tw	4	7.8%
https://www.ivi.ru	2	3.9%
https://tv.naver.com	2	3.9%
https://w.mgtv.com	2	3.9%
https://www.iq.com	2	3.9%
https://www.seezntv.com	1	2.0%
http://www.wowpresentsplus.com	1	2.0%
Other values (2)	2	3.9%

Most occurring characters

Value	Count	Frequency (%)
t	139	12.7%
/	136	12.5%
w	110	10.1%
.	102	9.3%
o	64	5.9%
s	57	5.2%
p	56	5.1%
h	51	4.7%
:	51	4.7%
m	48	4.4%
Other values (17)	277	25.4%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	802	73.5%
Other Punctuation	289	26.5%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
t	139	17.3%
w	110	13.7%
o	64	8.0%
s	57	7.1%
p	56	7.0%
h	51	6.4%
m	48	6.0%
c	46	5.7%
u	38	4.7%
e	33	4.1%
Other values (14)	160	20.0%

Other Punctuation

Value	Count	Frequency (%)
/	136	47.1%
.	102	35.3%
:	51	17.6%

Most occurring scripts

Value	Count	Frequency (%)
Latin	802	73.5%
Common	289	26.5%

Most frequent character per script

Latin

Value	Count	Frequency (%)
t	139	17.3%
w	110	13.7%
o	64	8.0%
s	57	7.1%
p	56	7.0%
h	51	6.4%
m	48	6.0%
c	46	5.7%
u	38	4.7%
e	33	4.1%
Other values (14)	160	20.0%

Common

Value	Count	Frequency (%)
/	136	47.1%
.	102	35.3%
:	51	17.6%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1091	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
t	139	12.7%
/	136	12.5%
w	110	10.1%
.	102	9.3%
o	64	5.9%
s	57	5.2%
p	56	5.1%
h	51	4.7%
:	51	4.7%
m	48	4.4%
Other values (17)	277	25.4%

_embedded.show.dvdCountry
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing	88
Missing (%)	100.0%
Memory size	832.0 B

_embedded.show.externals.tvrage
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING
UNIFORM

Distinct	2
Distinct (%)	100.0%
Missing	86
Missing (%)	97.7%
Memory size	832.0 B

19056.0	1
25100.0	1

Length

Max length	7
Median length	7
Mean length	7
Min length	7

Characters and Unicode

Total characters	14
Distinct characters	7
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	2 ?
Unique (%)	100.0%

Sample

1st row	19056.0
2nd row	25100.0

Common Values

Value	Count	Frequency (%)
19056.0	1	1.1%
25100.0	1	1.1%
(Missing)	86	97.7%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
19056.0	1	50.0%
25100.0	1	50.0%

Most occurring characters

Value	Count	Frequency (%)
0	5	35.7%
1	2	14.3%
5	2	14.3%
.	2	14.3%
9	1	7.1%
6	1	7.1%
2	1	7.1%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	12	85.7%
Other Punctuation	2	14.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	5	41.7%
1	2	16.7%
5	2	16.7%
9	1	8.3%
6	1	8.3%
2	1	8.3%

Other Punctuation

Value	Count	Frequency (%)
.	2	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	14	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	5	35.7%
1	2	14.3%
5	2	14.3%
.	2	14.3%
9	1	7.1%
6	1	7.1%
2	1	7.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	14	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	5	35.7%
1	2	14.3%
5	2	14.3%
.	2	14.3%
9	1	7.1%
6	1	7.1%
2	1	7.1%

_embedded.show.externals.thetvdb
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	43
Distinct (%)	81.1%
Missing	35
Missing (%)	39.8%
Infinite	0
Infinite (%)	0.0%
Mean	362493.0189

Minimum	104271
Maximum	410086
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	832.0 B

Quantile statistics

Minimum	104271
5-th percentile	278793
Q1	369796
median	380686
Q3	392214
95-th percentile	393454
Maximum	410086
Range	305815
Interquartile range (IQR)	22418

Descriptive statistics

Standard deviation	57197.07377
Coefficient of variation (CV)	0.1577880698
Kurtosis	10.7008181
Mean	362493.0189
Median Absolute Deviation (MAD)	11528
Skewness	-3.085849299
Sum	19212130
Variance	3271505248
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=43)

Value	Count	Frequency (%)
392104	4	4.5%
392410	2	2.3%
392214	2	2.3%
392362	2	2.3%
392679	2	2.3%
278793	2	2.3%
392162	2	2.3%
393060	2	2.3%
371044	1	1.1%
326962	1	1.1%
Other values (33)	33	37.5%
(Missing)	35	39.8%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
104271	1	1.1%
144541	1	1.1%
278793	2	2.3%
290686	1	1.1%
294179	1	1.1%
315061	1	1.1%
321364	1	1.1%
326962	1	1.1%
336628	1	1.1%
354216	1	1.1%

Value	Count	Frequency (%)
410086	1	1.1%
395235	1	1.1%
394045	1	1.1%
393060	2	2.3%
392682	1	1.1%
392679	2	2.3%
392649	1	1.1%
392410	2	2.3%
392362	2	2.3%
392214	2	2.3%

_embedded.show.externals.imdb
Categorical

HIGH CORRELATION
MISSING

Distinct	27
Distinct (%)	69.2%
Missing	49
Missing (%)	55.7%
Memory size	832.0 B

tt13650312	5
tt13487106	4
tt13470370	2
tt15561200	2
tt1714810	2
Other values (22)	24

Length

Max length	10
Median length	10
Mean length	9.692307692
Min length	9

Characters and Unicode

Total characters	378
Distinct characters	11
Distinct categories	2 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	20 ?
Unique (%)	51.3%

Sample

1st row	tt13695606
2nd row	tt10960302
3rd row	tt13470370
4th row	tt13470370
5th row	tt11492320

Common Values

Value	Count	Frequency (%)
tt13650312	5	5.7%
tt13487106	4	4.5%
tt13470370	2	2.3%
tt15561200	2	2.3%
tt1714810	2	2.3%
tt13568876	2	2.3%
tt13539710	2	2.3%
tt6618922	1	1.1%
tt0096597	1	1.1%
tt9646546	1	1.1%
Other values (17)	17	19.3%
(Missing)	49	55.7%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
tt13650312	5	12.8%
tt13487106	4	10.3%
tt13470370	2	5.1%
tt15561200	2	5.1%
tt1714810	2	5.1%
tt13568876	2	5.1%
tt13539710	2	5.1%
tt13695606	1	2.6%
tt10960302	1	2.6%
tt11492320	1	2.6%
Other values (17)	17	43.6%

Most occurring characters

Value	Count	Frequency (%)
t	78	20.6%
1	55	14.6%
0	43	11.4%
6	39	10.3%
3	34	9.0%
2	24	6.3%
5	23	6.1%
8	22	5.8%
7	22	5.8%
4	21	5.6%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	300	79.4%
Lowercase Letter	78	20.6%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
1	55	18.3%
0	43	14.3%
6	39	13.0%
3	34	11.3%
2	24	8.0%
5	23	7.7%
8	22	7.3%
7	22	7.3%
4	21	7.0%
9	17	5.7%

Lowercase Letter

Value	Count	Frequency (%)
t	78	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	300	79.4%
Latin	78	20.6%

Most frequent character per script

Common

Value	Count	Frequency (%)
1	55	18.3%
0	43	14.3%
6	39	13.0%
3	34	11.3%
2	24	8.0%
5	23	7.7%
8	22	7.3%
7	22	7.3%
4	21	7.0%
9	17	5.7%

Latin

Value	Count	Frequency (%)
t	78	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	378	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
t	78	20.6%
1	55	14.6%
0	43	11.4%
6	39	10.3%
3	34	9.0%
2	24	6.3%
5	23	6.1%
8	22	5.8%
7	22	5.8%
4	21	5.6%

_embedded.show.image.medium
Categorical

HIGH CARDINALITY
HIGH CORRELATION
MISSING
UNIFORM

Distinct	64
Distinct (%)	75.3%
Missing	3
Missing (%)	3.4%
Memory size	832.0 B

https://static.tvmaze.com/uploads/images/medium_portrait/290/726864.jpg	5
https://static.tvmaze.com/uploads/images/medium_portrait/284/710019.jpg	4
https://static.tvmaze.com/uploads/images/medium_portrait/226/565494.jpg	4
https://static.tvmaze.com/uploads/images/medium_portrait/350/877137.jpg	2
https://static.tvmaze.com/uploads/images/medium_portrait/51/129595.jpg	2
Other values (59)	68

Length

Max length	72
Median length	71
Mean length	71.04705882
Min length	70

Characters and Unicode

Total characters	6039
Distinct characters	32
Distinct categories	4 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	50 ?
Unique (%)	58.8%

Sample

1st row	https://static.tvmaze.com/uploads/images/medium_portrait/315/789854.jpg
2nd row	https://static.tvmaze.com/uploads/images/medium_portrait/355/888089.jpg
3rd row	https://static.tvmaze.com/uploads/images/medium_portrait/287/719749.jpg
4th row	https://static.tvmaze.com/uploads/images/medium_portrait/287/719749.jpg
5th row	https://static.tvmaze.com/uploads/images/medium_portrait/283/709704.jpg

Common Values

Value	Count	Frequency (%)
https://static.tvmaze.com/uploads/images/medium_portrait/290/726864.jpg	5	5.7%
https://static.tvmaze.com/uploads/images/medium_portrait/284/710019.jpg	4	4.5%
https://static.tvmaze.com/uploads/images/medium_portrait/226/565494.jpg	4	4.5%
https://static.tvmaze.com/uploads/images/medium_portrait/350/877137.jpg	2	2.3%
https://static.tvmaze.com/uploads/images/medium_portrait/51/129595.jpg	2	2.3%
https://static.tvmaze.com/uploads/images/medium_portrait/291/729458.jpg	2	2.3%
https://static.tvmaze.com/uploads/images/medium_portrait/288/721821.jpg	2	2.3%
https://static.tvmaze.com/uploads/images/medium_portrait/370/926884.jpg	2	2.3%
https://static.tvmaze.com/uploads/images/medium_portrait/288/721432.jpg	2	2.3%
https://static.tvmaze.com/uploads/images/medium_portrait/285/714863.jpg	2	2.3%
Other values (54)	58	65.9%
(Missing)	3	3.4%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
https://static.tvmaze.com/uploads/images/medium_portrait/290/726864.jpg	5	5.9%
https://static.tvmaze.com/uploads/images/medium_portrait/226/565494.jpg	4	4.7%
https://static.tvmaze.com/uploads/images/medium_portrait/284/710019.jpg	4	4.7%
https://static.tvmaze.com/uploads/images/medium_portrait/288/721432.jpg	2	2.4%
https://static.tvmaze.com/uploads/images/medium_portrait/287/719749.jpg	2	2.4%
https://static.tvmaze.com/uploads/images/medium_portrait/285/713100.jpg	2	2.4%
https://static.tvmaze.com/uploads/images/medium_portrait/285/713120.jpg	2	2.4%
https://static.tvmaze.com/uploads/images/medium_portrait/285/714863.jpg	2	2.4%
https://static.tvmaze.com/uploads/images/medium_portrait/285/713040.jpg	2	2.4%
https://static.tvmaze.com/uploads/images/medium_portrait/370/926884.jpg	2	2.4%
Other values (54)	58	68.2%

Most occurring characters

Value	Count	Frequency (%)
/	595	9.9%
t	595	9.9%
a	425	7.0%
m	425	7.0%
p	340	5.6%
s	340	5.6%
i	340	5.6%
.	255	4.2%
e	255	4.2%
o	255	4.2%
Other values (22)	2214	36.7%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	4250	70.4%
Other Punctuation	935	15.5%
Decimal Number	769	12.7%
Connector Punctuation	85	1.4%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
t	595	14.0%
a	425	10.0%
m	425	10.0%
p	340	8.0%
s	340	8.0%
i	340	8.0%
e	255	6.0%
o	255	6.0%
d	170	4.0%
u	170	4.0%
Other values (8)	935	22.0%

Decimal Number

Value	Count	Frequency (%)
2	100	13.0%
7	88	11.4%
8	87	11.3%
1	86	11.2%
4	73	9.5%
0	71	9.2%
9	70	9.1%
6	70	9.1%
5	64	8.3%
3	60	7.8%

Other Punctuation

Value	Count	Frequency (%)
/	595	63.6%
.	255	27.3%
:	85	9.1%

Connector Punctuation

Value	Count	Frequency (%)
_	85	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	4250	70.4%
Common	1789	29.6%

Most frequent character per script

Latin

Value	Count	Frequency (%)
t	595	14.0%
a	425	10.0%
m	425	10.0%
p	340	8.0%
s	340	8.0%
i	340	8.0%
e	255	6.0%
o	255	6.0%
d	170	4.0%
u	170	4.0%
Other values (8)	935	22.0%

Common

Value	Count	Frequency (%)
/	595	33.3%
.	255	14.3%
2	100	5.6%
7	88	4.9%
8	87	4.9%
1	86	4.8%
_	85	4.8%
:	85	4.8%
4	73	4.1%
0	71	4.0%
Other values (4)	264	14.8%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	6039	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
/	595	9.9%
t	595	9.9%
a	425	7.0%
m	425	7.0%
p	340	5.6%
s	340	5.6%
i	340	5.6%
.	255	4.2%
e	255	4.2%
o	255	4.2%
Other values (22)	2214	36.7%

_embedded.show.image.original
Categorical

HIGH CARDINALITY
HIGH CORRELATION
MISSING
UNIFORM

Distinct	64
Distinct (%)	75.3%
Missing	3
Missing (%)	3.4%
Memory size	832.0 B

https://static.tvmaze.com/uploads/images/original_untouched/290/726864.jpg	5
https://static.tvmaze.com/uploads/images/original_untouched/284/710019.jpg	4
https://static.tvmaze.com/uploads/images/original_untouched/226/565494.jpg	4
https://static.tvmaze.com/uploads/images/original_untouched/350/877137.jpg	2
https://static.tvmaze.com/uploads/images/original_untouched/51/129595.jpg	2
Other values (59)	68

Length

Max length	75
Median length	74
Mean length	74.04705882
Min length	73

Characters and Unicode

Total characters	6294
Distinct characters	33
Distinct categories	4 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	50 ?
Unique (%)	58.8%

Sample

1st row	https://static.tvmaze.com/uploads/images/original_untouched/315/789854.jpg
2nd row	https://static.tvmaze.com/uploads/images/original_untouched/355/888089.jpg
3rd row	https://static.tvmaze.com/uploads/images/original_untouched/287/719749.jpg
4th row	https://static.tvmaze.com/uploads/images/original_untouched/287/719749.jpg
5th row	https://static.tvmaze.com/uploads/images/original_untouched/283/709704.jpg

Common Values

Value	Count	Frequency (%)
https://static.tvmaze.com/uploads/images/original_untouched/290/726864.jpg	5	5.7%
https://static.tvmaze.com/uploads/images/original_untouched/284/710019.jpg	4	4.5%
https://static.tvmaze.com/uploads/images/original_untouched/226/565494.jpg	4	4.5%
https://static.tvmaze.com/uploads/images/original_untouched/350/877137.jpg	2	2.3%
https://static.tvmaze.com/uploads/images/original_untouched/51/129595.jpg	2	2.3%
https://static.tvmaze.com/uploads/images/original_untouched/291/729458.jpg	2	2.3%
https://static.tvmaze.com/uploads/images/original_untouched/288/721821.jpg	2	2.3%
https://static.tvmaze.com/uploads/images/original_untouched/370/926884.jpg	2	2.3%
https://static.tvmaze.com/uploads/images/original_untouched/288/721432.jpg	2	2.3%
https://static.tvmaze.com/uploads/images/original_untouched/285/714863.jpg	2	2.3%
Other values (54)	58	65.9%
(Missing)	3	3.4%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
https://static.tvmaze.com/uploads/images/original_untouched/290/726864.jpg	5	5.9%
https://static.tvmaze.com/uploads/images/original_untouched/226/565494.jpg	4	4.7%
https://static.tvmaze.com/uploads/images/original_untouched/284/710019.jpg	4	4.7%
https://static.tvmaze.com/uploads/images/original_untouched/288/721432.jpg	2	2.4%
https://static.tvmaze.com/uploads/images/original_untouched/287/719749.jpg	2	2.4%
https://static.tvmaze.com/uploads/images/original_untouched/285/713100.jpg	2	2.4%
https://static.tvmaze.com/uploads/images/original_untouched/285/713120.jpg	2	2.4%
https://static.tvmaze.com/uploads/images/original_untouched/285/714863.jpg	2	2.4%
https://static.tvmaze.com/uploads/images/original_untouched/285/713040.jpg	2	2.4%
https://static.tvmaze.com/uploads/images/original_untouched/370/926884.jpg	2	2.4%
Other values (54)	58	68.2%

Most occurring characters

Value	Count	Frequency (%)
/	595	9.5%
t	510	8.1%
a	425	6.8%
s	340	5.4%
i	340	5.4%
o	340	5.4%
p	255	4.1%
c	255	4.1%
.	255	4.1%
g	255	4.1%
Other values (23)	2724	43.3%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	4505	71.6%
Other Punctuation	935	14.9%
Decimal Number	769	12.2%
Connector Punctuation	85	1.4%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
t	510	11.3%
a	425	9.4%
s	340	7.5%
i	340	7.5%
o	340	7.5%
p	255	5.7%
c	255	5.7%
g	255	5.7%
m	255	5.7%
e	255	5.7%
Other values (9)	1275	28.3%

Decimal Number

Value	Count	Frequency (%)
2	100	13.0%
7	88	11.4%
8	87	11.3%
1	86	11.2%
4	73	9.5%
0	71	9.2%
9	70	9.1%
6	70	9.1%
5	64	8.3%
3	60	7.8%

Other Punctuation

Value	Count	Frequency (%)
/	595	63.6%
.	255	27.3%
:	85	9.1%

Connector Punctuation

Value	Count	Frequency (%)
_	85	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	4505	71.6%
Common	1789	28.4%

Most frequent character per script

Latin

Value	Count	Frequency (%)
t	510	11.3%
a	425	9.4%
s	340	7.5%
i	340	7.5%
o	340	7.5%
p	255	5.7%
c	255	5.7%
g	255	5.7%
m	255	5.7%
e	255	5.7%
Other values (9)	1275	28.3%

Common

Value	Count	Frequency (%)
/	595	33.3%
.	255	14.3%
2	100	5.6%
7	88	4.9%
8	87	4.9%
1	86	4.8%
:	85	4.8%
_	85	4.8%
4	73	4.1%
0	71	4.0%
Other values (4)	264	14.8%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	6294	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
/	595	9.5%
t	510	8.1%
a	425	6.8%
s	340	5.4%
i	340	5.4%
o	340	5.4%
p	255	4.1%
c	255	4.1%
.	255	4.1%
g	255	4.1%
Other values (23)	2724	43.3%

_embedded.show.summary
Categorical

HIGH CARDINALITY
HIGH CORRELATION
MISSING
UNIFORM

Distinct	55
Distinct (%)	72.4%
Missing	12
Missing (%)	13.6%
Memory size	832.0 B

<p>Can a dab of vodka, a little rølp and a good dose of amateur hockey break down barriers and create friendships? The happy hockey amateurs in <b>Kirkenes Puckers</b> think so.</p>	5
<p><b>The Surgeon's Cut </b>profiles four ground-breaking surgeons from around the world, each with a visionary approach to their craft. Viewers will follow along as they perform innovative operations and procedures, and reveal personal insight into their journey into medicine, providing a unique window into the world of surgery. Through the individual stories of these experts, the series explores how our understanding of the human body is constantly being reinvented by new discoveries and techniques. Specialty areas featured include fetal medicine, neurosurgery, transplant surgery and cardiology. </p>	4
<p>Jump aboard with Robbie Cumming as he embarks on a 300-mile journey across the Midlands and northern England in his narrowboat.</p>	4
<p>Two unlikely individuals join forces to find the truth behind a series of murders using an unconventional method. Chen Si, a female detective with a sense of justice, unexpectedly becomess partners with Yuan Shuai, a dream interpreter with a dark past.</p>	2
<p>‎At the end of the 20th century, due to the sudden decision of Xin Shensheng, gao Shan's business went bankrupt. Gao Shan wants to prove his father's innocence, but on his way suddenly falls in love with the daughter of Xin Shensheng, Tsin Waugh. Learning about the intentions of Gao Shan, Xin Shansheng makes him quit his job. ‎<br /><br />‎Gao Shan decides to go to Hong Kong to start from scratch, where he meets a benefactor and earns his first million in his life. Under the guidance of a mentor, he goes to Beijing and becomes a well-known investor. Soon Gao Shan meets Tsin Vo, who became a financial headhunter. Can love help them find their way to each other again? ‎<br /><br />‎Based on the novel by Xiao Moli "Little Storm 1.0"‎</p>	2
Other values (50)	59

Length

Max length	807
Median length	363
Mean length	305.3421053
Min length	36

Characters and Unicode

Total characters	23206
Distinct characters	89
Distinct categories	11 ?
Distinct scripts	2 ?
Distinct blocks	4 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	41 ?
Unique (%)	53.9%

Sample

1st row	<p>A modern adaptation of the classic novel-poem by Nikolai Gogol. The action takes place in our days. Chichikov, an enterprising and not without charm official from Moscow, this time does not buy up dead souls from small-minded provincials, but sells them places in the cemetery next to celebrities. He arrives in the County town of N and quickly makes" big and small " connections there. These bright acquaintances will benefit him and open up new opportunities for personal gain.</p>
2nd row	<p>A modern adaptation of the classic novel-poem by Nikolai Gogol. The action takes place in our days. Chichikov, an enterprising and not without charm official from Moscow, this time does not buy up dead souls from small-minded provincials, but sells them places in the cemetery next to celebrities. He arrives in the County town of N and quickly makes" big and small " connections there. These bright acquaintances will benefit him and open up new opportunities for personal gain.</p>
3rd row	<p><b>Mermaid Prince</b> is about Hye Ri, who embarks on a graduation trip to Gangwon Province and meets Woo Hyuk, a mysterious guy who runs a guest house.</p>
4th row	<p>The pure and cute little devil Nini lives in Room 1031 of Wan Sheng Street Apartment. His roommates are no ordinary people: The lazy and wacky vampire Ira who spends most of his time gaming or watching TV, the unlucky dancer werewolf Vladimir, the serious and old-fashioned angel landlord Lynn and his naive little sister Lily, and many more.<br /><br />What none of them realize is that the power of the demon king is sleeping inside of Nini. With evil forces in hot pursuit, can Nini and his friends head off disaster?</p>
5th row	<p>In ancient Shenzhou, humans and demons had been in constant dispute for thousands of years. The demon princess from Tushan, Bai Binglan, and the human Zhang Kuangyun met each other due to a misunderstanding. In order to investigate the enemy country, Bai Binglan became Zhang Kuangyun's companion. As they travel together, Zhang Kuangyun discovers a conspiracy...</p>

Common Values

Value	Count	Frequency (%)
<p>Can a dab of vodka, a little rølp and a good dose of amateur hockey break down barriers and create friendships? The happy hockey amateurs in <b>Kirkenes Puckers</b> think so.</p>	5	5.7%
<p><b>The Surgeon's Cut </b>profiles four ground-breaking surgeons from around the world, each with a visionary approach to their craft. Viewers will follow along as they perform innovative operations and procedures, and reveal personal insight into their journey into medicine, providing a unique window into the world of surgery. Through the individual stories of these experts, the series explores how our understanding of the human body is constantly being reinvented by new discoveries and techniques. Specialty areas featured include fetal medicine, neurosurgery, transplant surgery and cardiology. </p>	4	4.5%
<p>Jump aboard with Robbie Cumming as he embarks on a 300-mile journey across the Midlands and northern England in his narrowboat.</p>	4	4.5%
<p>Two unlikely individuals join forces to find the truth behind a series of murders using an unconventional method. Chen Si, a female detective with a sense of justice, unexpectedly becomess partners with Yuan Shuai, a dream interpreter with a dark past.</p>	2	2.3%
<p>‎At the end of the 20th century, due to the sudden decision of Xin Shensheng, gao Shan's business went bankrupt. Gao Shan wants to prove his father's innocence, but on his way suddenly falls in love with the daughter of Xin Shensheng, Tsin Waugh. Learning about the intentions of Gao Shan, Xin Shansheng makes him quit his job. ‎<br /><br />‎Gao Shan decides to go to Hong Kong to start from scratch, where he meets a benefactor and earns his first million in his life. Under the guidance of a mentor, he goes to Beijing and becomes a well-known investor. Soon Gao Shan meets Tsin Vo, who became a financial headhunter. Can love help them find their way to each other again? ‎<br /><br />‎Based on the novel by Xiao Moli "Little Storm 1.0"‎</p>	2	2.3%
<p>‎Shen Moo, has no idea what adventures she will face. Beauty, is one of the best observers of Internet resources, but soon, in her head creeps the idea that in the universe there are mermaids. It's hard to believe, but for some reason, she can't get it out of her mind. Soon, she will have to take responsibility to prove their existence, otherwise, the dispute with the professor will turn out to be a real failure for the heroine. Together with the rescue team, they went to help the victims in The Xine Bay. Meet Ahn Xin - an athlete, will turn her reality. Unbelievable, but the guy is perceived as a mermaid. Of course, Mu Xin liked it madly, because she found a key witness and will be able to insist on her own. However, the mermaid man does his best to avoid revealing his real world.‎</p>	2	2.3%
<p>A story that follows a detective in the major crimes division of Nan Xing City Police Department. Together with a woman who has super memory, he upholds the law one case at a time in solving murders, burglaries and bringing down a narcotics manufacturing facility. Jing Chu is a young and capable detective. Due to his repeated merits from cracking big cases, he is promoted to the position of major crimes division vice-captain at Nan Xing city and starts to work alongside his new team. Because of a murder case, he meets Yang Mian Mian, a young woman who possesses a photographic memory. He soon realizes that Mian Mian seems to have a deep connection to his father's mysterious death many years ago. Meanwhile, a famous blogger and a member of an idol girl group die</p>	2	2.3%
<p>A story that follows people whose lives are entangled due to a complicated case. While investigating a drug cartel as an undercover cop, Yan Jin falls in love with the beautiful coffee shop owner Ji Xiao'ou.</p>	2	2.3%
<p>Morten shows you how you can make something cool with what you have at home!</p>	2	2.3%
<p>Merchant Jiang Shuo and his odd specialist companion Qin Yi Heng purchase frequented houses to exchange them. In any case, alarming things start to occur and each spooky house is by all accounts part of a major riddle. Jiang Shuo, Yi Heng, and police officer Yuan Mu Qing attempt to understand the riddle.</p>	2	2.3%
Other values (45)	49	55.7%
(Missing)	12	13.6%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
the	175	4.6%
and	145	3.8%
a	134	3.5%
to	112	2.9%
of	97	2.5%
in	70	1.8%
his	54	1.4%
with	52	1.4%
he	35	0.9%
is	30	0.8%
Other values (1239)	2932	76.4%

Most occurring characters

Value	Count	Frequency (%)
	3754	16.2%
e	2144	9.2%
a	1452	6.3%
n	1393	6.0%
t	1347	5.8%
o	1340	5.8%
i	1329	5.7%
s	1127	4.9%
r	1099	4.7%
h	872	3.8%
Other values (79)	7349	31.7%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	17556	75.7%
Space Separator	3761	16.2%
Uppercase Letter	717	3.1%
Other Punctuation	615	2.7%
Math Symbol	428	1.8%
Dash Punctuation	54	0.2%
Decimal Number	44	0.2%
Format	16	0.1%
Open Punctuation	6	< 0.1%
Close Punctuation	6	< 0.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	2144	12.2%
a	1452	8.3%
n	1393	7.9%
t	1347	7.7%
o	1340	7.6%
i	1329	7.6%
s	1127	6.4%
r	1099	6.3%
h	872	5.0%
l	699	4.0%
Other values (20)	4754	27.1%

Uppercase Letter

Value	Count	Frequency (%)
S	75	10.5%
T	56	7.8%
M	48	6.7%
H	42	5.9%
W	41	5.7%
A	38	5.3%
C	37	5.2%
B	34	4.7%
Y	30	4.2%
X	28	3.9%
Other values (16)	288	40.2%

Other Punctuation

Value	Count	Frequency (%)
,	211	34.3%
.	198	32.2%
/	117	19.0%
'	42	6.8%
"	20	3.3%
?	13	2.1%
!	5	0.8%
:	4	0.7%
;	1	0.2%
&	1	0.2%
Other values (3)	3	0.5%

Decimal Number

Value	Count	Frequency (%)
0	21	47.7%
2	6	13.6%
3	5	11.4%
1	5	11.4%
8	3	6.8%
7	2	4.5%
5	1	2.3%
4	1	2.3%

Dash Punctuation

Value	Count	Frequency (%)
-	51	94.4%
—	2	3.7%
–	1	1.9%

Space Separator

Value	Count	Frequency (%)
	3754	99.8%
	7	0.2%

Math Symbol

Value	Count	Frequency (%)
>	214	50.0%
<	214	50.0%

Currency Symbol

Value	Count	Frequency (%)
$	2	66.7%
₴	1	33.3%

Format

Value	Count	Frequency (%)
‎	16	100.0%

Open Punctuation

Value	Count	Frequency (%)
(	6	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	6	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	18273	78.7%
Common	4933	21.3%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	2144	11.7%
a	1452	7.9%
n	1393	7.6%
t	1347	7.4%
o	1340	7.3%
i	1329	7.3%
s	1127	6.2%
r	1099	6.0%
h	872	4.8%
l	699	3.8%
Other values (46)	5471	29.9%

Common

Value	Count	Frequency (%)
	3754	76.1%
>	214	4.3%
<	214	4.3%
,	211	4.3%
.	198	4.0%
/	117	2.4%
-	51	1.0%
'	42	0.9%
0	21	0.4%
"	20	0.4%
Other values (23)	91	1.8%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	23170	99.8%
Punctuation	20	0.1%
None	15	0.1%
Currency Symbols	1	< 0.1%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	3754	16.2%
e	2144	9.3%
a	1452	6.3%
n	1393	6.0%
t	1347	5.8%
o	1340	5.8%
i	1329	5.7%
s	1127	4.9%
r	1099	4.7%
h	872	3.8%
Other values (69)	7313	31.6%

Punctuation

Value	Count	Frequency (%)
‎	16	80.0%
—	2	10.0%
…	1	5.0%
–	1	5.0%

None

Value	Count	Frequency (%)
	7	46.7%
ø	5	33.3%
æ	1	6.7%
é	1	6.7%
å	1	6.7%

Currency Symbols

Value	Count	Frequency (%)
₴	1	100.0%

_embedded.show.updated
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	67
Distinct (%)	76.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	1638747132

Minimum	1607548768
Maximum	1662346277
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	832.0 B

Quantile statistics

Minimum	1607548768
5-th percentile	1609006074
Q1	1613087921
median	1646937966
Q3	1656819246
95-th percentile	1662277835
Maximum	1662346277
Range	54797509
Interquartile range (IQR)	43731324.75

Descriptive statistics

Standard deviation	20464388.55
Coefficient of variation (CV)	0.0124878257
Kurtosis	-1.500362898
Mean	1638747132
Median Absolute Deviation (MAD)	14741179
Skewness	-0.3923952568
Sum	1.442097476 × 10¹¹
Variance	4.187911988 × 10¹⁴
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1609006074	5	5.7%
1662279002	4	4.5%
1649792981	4	4.5%
1650826480	2	2.3%
1635735179	2	2.3%
1648190058	2	2.3%
1654977444	2	2.3%
1619633499	2	2.3%
1612842583	2	2.3%
1609060726	2	2.3%
Other values (57)	61	69.3%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1607548768	1	1.1%
1608253013	2	2.3%
1609006074	5	5.7%
1609060726	2	2.3%
1609535141	2	2.3%
1610205155	1	1.1%
1610812526	1	1.1%
1610890340	1	1.1%
1611436842	1	1.1%
1612007831	1	1.1%

Value	Count	Frequency (%)
1662346277	1	1.1%
1662279002	4	4.5%
1662275668	1	1.1%
1662217931	1	1.1%
1662206917	1	1.1%
1662050133	1	1.1%
1661969159	1	1.1%
1661959538	1	1.1%
1661922652	1	1.1%
1661872561	1	1.1%

_embedded.show._links.self.href
Categorical

HIGH CARDINALITY
HIGH CORRELATION
UNIFORM

Distinct	67
Distinct (%)	76.1%
Missing	0
Missing (%)	0.0%
Memory size	832.0 B

https://api.tvmaze.com/shows/52639	5
https://api.tvmaze.com/shows/45155	4
https://api.tvmaze.com/shows/51992	4
https://api.tvmaze.com/shows/52108	2
https://api.tvmaze.com/shows/58689	2
Other values (62)	71

Length

Max length	34
Median length	34
Mean length	33.97727273
Min length	33

Characters and Unicode

Total characters	2990
Distinct characters	26
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	53 ?
Unique (%)	60.2%

Sample

1st row	https://api.tvmaze.com/shows/49630
2nd row	https://api.tvmaze.com/shows/52198
3rd row	https://api.tvmaze.com/shows/52316
4th row	https://api.tvmaze.com/shows/52316
5th row	https://api.tvmaze.com/shows/47207

Common Values

Value	Count	Frequency (%)
https://api.tvmaze.com/shows/52639	5	5.7%
https://api.tvmaze.com/shows/45155	4	4.5%
https://api.tvmaze.com/shows/51992	4	4.5%
https://api.tvmaze.com/shows/52108	2	2.3%
https://api.tvmaze.com/shows/58689	2	2.3%
https://api.tvmaze.com/shows/15250	2	2.3%
https://api.tvmaze.com/shows/52780	2	2.3%
https://api.tvmaze.com/shows/52421	2	2.3%
https://api.tvmaze.com/shows/52400	2	2.3%
https://api.tvmaze.com/shows/52159	2	2.3%
Other values (57)	61	69.3%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
https://api.tvmaze.com/shows/52639	5	5.7%
https://api.tvmaze.com/shows/51992	4	4.5%
https://api.tvmaze.com/shows/45155	4	4.5%
https://api.tvmaze.com/shows/52400	2	2.3%
https://api.tvmaze.com/shows/52104	2	2.3%
https://api.tvmaze.com/shows/52107	2	2.3%
https://api.tvmaze.com/shows/57030	2	2.3%
https://api.tvmaze.com/shows/52159	2	2.3%
https://api.tvmaze.com/shows/52316	2	2.3%
https://api.tvmaze.com/shows/52421	2	2.3%
Other values (57)	61	69.3%

Most occurring characters

Value	Count	Frequency (%)
/	352	11.8%
s	264	8.8%
t	264	8.8%
h	176	5.9%
p	176	5.9%
a	176	5.9%
o	176	5.9%
.	176	5.9%
m	176	5.9%
e	88	2.9%
Other values (16)	966	32.3%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	1936	64.7%
Other Punctuation	616	20.6%
Decimal Number	438	14.6%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
s	264	13.6%
t	264	13.6%
h	176	9.1%
p	176	9.1%
a	176	9.1%
o	176	9.1%
m	176	9.1%
e	88	4.5%
w	88	4.5%
c	88	4.5%
Other values (3)	264	13.6%

Decimal Number

Value	Count	Frequency (%)
5	87	19.9%
2	52	11.9%
4	51	11.6%
1	41	9.4%
9	39	8.9%
0	38	8.7%
3	36	8.2%
6	34	7.8%
7	33	7.5%
8	27	6.2%

Other Punctuation

Value	Count	Frequency (%)
/	352	57.1%
.	176	28.6%
:	88	14.3%

Most occurring scripts

Value	Count	Frequency (%)
Latin	1936	64.7%
Common	1054	35.3%

Most frequent character per script

Common

Value	Count	Frequency (%)
/	352	33.4%
.	176	16.7%
:	88	8.3%
5	87	8.3%
2	52	4.9%
4	51	4.8%
1	41	3.9%
9	39	3.7%
0	38	3.6%
3	36	3.4%
Other values (3)	94	8.9%

Latin

Value	Count	Frequency (%)
s	264	13.6%
t	264	13.6%
h	176	9.1%
p	176	9.1%
a	176	9.1%
o	176	9.1%
m	176	9.1%
e	88	4.5%
w	88	4.5%
c	88	4.5%
Other values (3)	264	13.6%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	2990	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
/	352	11.8%
s	264	8.8%
t	264	8.8%
h	176	5.9%
p	176	5.9%
a	176	5.9%
o	176	5.9%
.	176	5.9%
m	176	5.9%
e	88	2.9%
Other values (16)	966	32.3%

_embedded.show._links.previousepisode.href
Categorical

HIGH CARDINALITY
HIGH CORRELATION
UNIFORM

Distinct	67
Distinct (%)	76.1%
Missing	0
Missing (%)	0.0%
Memory size	832.0 B

https://api.tvmaze.com/episodes/1993071	5
https://api.tvmaze.com/episodes/2293679	4
https://api.tvmaze.com/episodes/1972645	4
https://api.tvmaze.com/episodes/1976202	2
https://api.tvmaze.com/episodes/2205983	2
Other values (62)	71

Length

Max length	39
Median length	39
Mean length	39
Min length	39

Characters and Unicode

Total characters	3432
Distinct characters	26
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	53 ?
Unique (%)	60.2%

Sample

1st row	https://api.tvmaze.com/episodes/2380515
2nd row	https://api.tvmaze.com/episodes/1986873
3rd row	https://api.tvmaze.com/episodes/1983260
4th row	https://api.tvmaze.com/episodes/1983260
5th row	https://api.tvmaze.com/episodes/1971570

Common Values

Value	Count	Frequency (%)
https://api.tvmaze.com/episodes/1993071	5	5.7%
https://api.tvmaze.com/episodes/2293679	4	4.5%
https://api.tvmaze.com/episodes/1972645	4	4.5%
https://api.tvmaze.com/episodes/1976202	2	2.3%
https://api.tvmaze.com/episodes/2205983	2	2.3%
https://api.tvmaze.com/episodes/2301276	2	2.3%
https://api.tvmaze.com/episodes/1998538	2	2.3%
https://api.tvmaze.com/episodes/1985496	2	2.3%
https://api.tvmaze.com/episodes/1984963	2	2.3%
https://api.tvmaze.com/episodes/1977651	2	2.3%
Other values (57)	61	69.3%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
https://api.tvmaze.com/episodes/1993071	5	5.7%
https://api.tvmaze.com/episodes/1972645	4	4.5%
https://api.tvmaze.com/episodes/2293679	4	4.5%
https://api.tvmaze.com/episodes/1984963	2	2.3%
https://api.tvmaze.com/episodes/1976054	2	2.3%
https://api.tvmaze.com/episodes/1976166	2	2.3%
https://api.tvmaze.com/episodes/2170127	2	2.3%
https://api.tvmaze.com/episodes/1977651	2	2.3%
https://api.tvmaze.com/episodes/1983260	2	2.3%
https://api.tvmaze.com/episodes/1985496	2	2.3%
Other values (57)	61	69.3%

Most occurring characters

Value	Count	Frequency (%)
/	352	10.3%
t	264	7.7%
p	264	7.7%
s	264	7.7%
e	264	7.7%
a	176	5.1%
i	176	5.1%
.	176	5.1%
m	176	5.1%
o	176	5.1%
Other values (16)	1144	33.3%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	2200	64.1%
Other Punctuation	616	17.9%
Decimal Number	616	17.9%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
t	264	12.0%
p	264	12.0%
s	264	12.0%
e	264	12.0%
a	176	8.0%
i	176	8.0%
m	176	8.0%
o	176	8.0%
h	88	4.0%
d	88	4.0%
Other values (3)	264	12.0%

Decimal Number

Value	Count	Frequency (%)
2	110	17.9%
9	80	13.0%
1	79	12.8%
7	61	9.9%
3	58	9.4%
6	54	8.8%
0	50	8.1%
5	47	7.6%
8	44	7.1%
4	33	5.4%

Other Punctuation

Value	Count	Frequency (%)
/	352	57.1%
.	176	28.6%
:	88	14.3%

Most occurring scripts

Value	Count	Frequency (%)
Latin	2200	64.1%
Common	1232	35.9%

Most frequent character per script

Common

Value	Count	Frequency (%)
/	352	28.6%
.	176	14.3%
2	110	8.9%
:	88	7.1%
9	80	6.5%
1	79	6.4%
7	61	5.0%
3	58	4.7%
6	54	4.4%
0	50	4.1%
Other values (3)	124	10.1%

Latin

Value	Count	Frequency (%)
t	264	12.0%
p	264	12.0%
s	264	12.0%
e	264	12.0%
a	176	8.0%
i	176	8.0%
m	176	8.0%
o	176	8.0%
h	88	4.0%
d	88	4.0%
Other values (3)	264	12.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	3432	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
/	352	10.3%
t	264	7.7%
p	264	7.7%
s	264	7.7%
e	264	7.7%
a	176	5.1%
i	176	5.1%
.	176	5.1%
m	176	5.1%
o	176	5.1%
Other values (16)	1144	33.3%

image
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing	88
Missing (%)	100.0%
Memory size	832.0 B

_embedded.show.webChannel.country.name
Categorical

HIGH CORRELATION
MISSING

Distinct	7
Distinct (%)	15.6%
Missing	43
Missing (%)	48.9%
Memory size	832.0 B

China	20
Norway	12
Russian Federation	4
United States	4
Korea, Republic of	3
Other values (2)	2

Length

Max length	18
Median length	13
Mean length	8.133333333
Min length	5

Characters and Unicode

Total characters	366
Distinct characters	30
Distinct categories	4 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	2 ?
Unique (%)	4.4%

Sample

1st row	Russian Federation
2nd row	Russian Federation
3rd row	Russian Federation
4th row	Korea, Republic of
5th row	China

Common Values

Value	Count	Frequency (%)
China	20	22.7%
Norway	12	13.6%
Russian Federation	4	4.5%
United States	4	4.5%
Korea, Republic of	3	3.4%
Kazakhstan	1	1.1%
Brazil	1	1.1%
(Missing)	43	48.9%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
china	20	33.9%
norway	12	20.3%
russian	4	6.8%
federation	4	6.8%
united	4	6.8%
states	4	6.8%
korea	3	5.1%
republic	3	5.1%
of	3	5.1%
kazakhstan	1	1.7%

Most occurring characters

Value	Count	Frequency (%)
a	51	13.9%
i	36	9.8%
n	33	9.0%
e	22	6.0%
o	22	6.0%
h	21	5.7%
r	20	5.5%
C	20	5.5%
t	17	4.6%
	14	3.8%
Other values (20)	110	30.1%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	293	80.1%
Uppercase Letter	56	15.3%
Space Separator	14	3.8%
Other Punctuation	3	0.8%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
a	51	17.4%
i	36	12.3%
n	33	11.3%
e	22	7.5%
o	22	7.5%
h	21	7.2%
r	20	6.8%
t	17	5.8%
s	13	4.4%
w	12	4.1%
Other values (10)	46	15.7%

Uppercase Letter

Value	Count	Frequency (%)
C	20	35.7%
N	12	21.4%
R	7	12.5%
K	4	7.1%
S	4	7.1%
U	4	7.1%
F	4	7.1%
B	1	1.8%

Space Separator

Value	Count	Frequency (%)
	14	100.0%

Other Punctuation

Value	Count	Frequency (%)
,	3	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	349	95.4%
Common	17	4.6%

Most frequent character per script

Latin

Value	Count	Frequency (%)
a	51	14.6%
i	36	10.3%
n	33	9.5%
e	22	6.3%
o	22	6.3%
h	21	6.0%
r	20	5.7%
C	20	5.7%
t	17	4.9%
s	13	3.7%
Other values (18)	94	26.9%

Common

Value	Count	Frequency (%)
	14	82.4%
,	3	17.6%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	366	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
a	51	13.9%
i	36	9.8%
n	33	9.0%
e	22	6.0%
o	22	6.0%
h	21	5.7%
r	20	5.5%
C	20	5.5%
t	17	4.6%
	14	3.8%
Other values (20)	110	30.1%

_embedded.show.webChannel.country.code
Categorical

HIGH CORRELATION
MISSING

Distinct	7
Distinct (%)	15.6%
Missing	43
Missing (%)	48.9%
Memory size	832.0 B

CN	20
NO	12
RU	4
US	4
KR	3
Other values (2)	2

Length

Max length	2
Median length	2
Mean length	2
Min length	2

Characters and Unicode

Total characters	90
Distinct characters	9
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	2 ?
Unique (%)	4.4%

Sample

1st row	RU
2nd row	RU
3rd row	RU
4th row	KR
5th row	CN

Common Values

Value	Count	Frequency (%)
CN	20	22.7%
NO	12	13.6%
RU	4	4.5%
US	4	4.5%
KR	3	3.4%
KZ	1	1.1%
BR	1	1.1%
(Missing)	43	48.9%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
cn	20	44.4%
no	12	26.7%
ru	4	8.9%
us	4	8.9%
kr	3	6.7%
kz	1	2.2%
br	1	2.2%

Most occurring characters

Value	Count	Frequency (%)
N	32	35.6%
C	20	22.2%
O	12	13.3%
R	8	8.9%
U	8	8.9%
S	4	4.4%
K	4	4.4%
Z	1	1.1%
B	1	1.1%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	90	100.0%

Most frequent character per category

Uppercase Letter

Value	Count	Frequency (%)
N	32	35.6%
C	20	22.2%
O	12	13.3%
R	8	8.9%
U	8	8.9%
S	4	4.4%
K	4	4.4%
Z	1	1.1%
B	1	1.1%

Most occurring scripts

Value	Count	Frequency (%)
Latin	90	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
N	32	35.6%
C	20	22.2%
O	12	13.3%
R	8	8.9%
U	8	8.9%
S	4	4.4%
K	4	4.4%
Z	1	1.1%
B	1	1.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	90	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
N	32	35.6%
C	20	22.2%
O	12	13.3%
R	8	8.9%
U	8	8.9%
S	4	4.4%
K	4	4.4%
Z	1	1.1%
B	1	1.1%

_embedded.show.webChannel.country.timezone
Categorical

HIGH CORRELATION
MISSING

Distinct	7
Distinct (%)	15.6%
Missing	43
Missing (%)	48.9%
Memory size	832.0 B

Asia/Shanghai	20
Europe/Oslo	12
Asia/Kamchatka	4
America/New_York	4
Asia/Seoul	3
Other values (2)	2

Length

Max length	16
Median length	15
Mean length	12.68888889
Min length	10

Characters and Unicode

Total characters	571
Distinct characters	30
Distinct categories	4 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	2 ?
Unique (%)	4.4%

Sample

1st row	Asia/Kamchatka
2nd row	Asia/Kamchatka
3rd row	Asia/Kamchatka
4th row	Asia/Seoul
5th row	Asia/Shanghai

Common Values

Value	Count	Frequency (%)
Asia/Shanghai	20	22.7%
Europe/Oslo	12	13.6%
Asia/Kamchatka	4	4.5%
America/New_York	4	4.5%
Asia/Seoul	3	3.4%
Asia/Qyzylorda	1	1.1%
America/Noronha	1	1.1%
(Missing)	43	48.9%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
asia/shanghai	20	44.4%
europe/oslo	12	26.7%
asia/kamchatka	4	8.9%
america/new_york	4	8.9%
asia/seoul	3	6.7%
asia/qyzylorda	1	2.2%
america/noronha	1	2.2%

Most occurring characters

Value	Count	Frequency (%)
a	87	15.2%
i	53	9.3%
/	45	7.9%
h	45	7.9%
s	40	7.0%
o	34	6.0%
A	33	5.8%
e	24	4.2%
S	23	4.0%
r	23	4.0%
Other values (20)	164	28.7%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	428	75.0%
Uppercase Letter	94	16.5%
Other Punctuation	45	7.9%
Connector Punctuation	4	0.7%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
a	87	20.3%
i	53	12.4%
h	45	10.5%
s	40	9.3%
o	34	7.9%
e	24	5.6%
r	23	5.4%
n	21	4.9%
g	20	4.7%
l	16	3.7%
Other values (10)	65	15.2%

Uppercase Letter

Value	Count	Frequency (%)
A	33	35.1%
S	23	24.5%
O	12	12.8%
E	12	12.8%
N	5	5.3%
K	4	4.3%
Y	4	4.3%
Q	1	1.1%

Other Punctuation

Value	Count	Frequency (%)
/	45	100.0%

Connector Punctuation

Value	Count	Frequency (%)
_	4	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	522	91.4%
Common	49	8.6%

Most frequent character per script

Latin

Value	Count	Frequency (%)
a	87	16.7%
i	53	10.2%
h	45	8.6%
s	40	7.7%
o	34	6.5%
A	33	6.3%
e	24	4.6%
S	23	4.4%
r	23	4.4%
n	21	4.0%
Other values (18)	139	26.6%

Common

Value	Count	Frequency (%)
/	45	91.8%
_	4	8.2%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	571	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
a	87	15.2%
i	53	9.3%
/	45	7.9%
h	45	7.9%
s	40	7.0%
o	34	6.0%
A	33	5.8%
e	24	4.2%
S	23	4.0%
r	23	4.0%
Other values (20)	164	28.7%

_embedded.show._links.nextepisode.href
Categorical

HIGH CORRELATION
MISSING
UNIFORM

Distinct	7
Distinct (%)	100.0%
Missing	81
Missing (%)	92.0%
Memory size	832.0 B

https://api.tvmaze.com/episodes/2374449	1
https://api.tvmaze.com/episodes/2373586	1
https://api.tvmaze.com/episodes/2382856	1
https://api.tvmaze.com/episodes/2383014	1
https://api.tvmaze.com/episodes/2371586	1
Other values (2)	2

Length

Max length	39
Median length	39
Mean length	39
Min length	39

Characters and Unicode

Total characters	273
Distinct characters	26
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	7 ?
Unique (%)	100.0%

Sample

1st row	https://api.tvmaze.com/episodes/2374449
2nd row	https://api.tvmaze.com/episodes/2373586
3rd row	https://api.tvmaze.com/episodes/2382856
4th row	https://api.tvmaze.com/episodes/2383014
5th row	https://api.tvmaze.com/episodes/2371586

Common Values

Value	Count	Frequency (%)
https://api.tvmaze.com/episodes/2374449	1	1.1%
https://api.tvmaze.com/episodes/2373586	1	1.1%
https://api.tvmaze.com/episodes/2382856	1	1.1%
https://api.tvmaze.com/episodes/2383014	1	1.1%
https://api.tvmaze.com/episodes/2371586	1	1.1%
https://api.tvmaze.com/episodes/2379703	1	1.1%
https://api.tvmaze.com/episodes/2367107	1	1.1%
(Missing)	81	92.0%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
https://api.tvmaze.com/episodes/2374449	1	14.3%
https://api.tvmaze.com/episodes/2373586	1	14.3%
https://api.tvmaze.com/episodes/2382856	1	14.3%
https://api.tvmaze.com/episodes/2383014	1	14.3%
https://api.tvmaze.com/episodes/2371586	1	14.3%
https://api.tvmaze.com/episodes/2379703	1	14.3%
https://api.tvmaze.com/episodes/2367107	1	14.3%

Most occurring characters

Value	Count	Frequency (%)
/	28	10.3%
p	21	7.7%
s	21	7.7%
e	21	7.7%
t	21	7.7%
a	14	5.1%
i	14	5.1%
.	14	5.1%
m	14	5.1%
o	14	5.1%
Other values (16)	91	33.3%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	175	64.1%
Other Punctuation	49	17.9%
Decimal Number	49	17.9%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
p	21	12.0%
s	21	12.0%
e	21	12.0%
t	21	12.0%
a	14	8.0%
i	14	8.0%
m	14	8.0%
o	14	8.0%
h	7	4.0%
d	7	4.0%
Other values (3)	21	12.0%

Decimal Number

Value	Count	Frequency (%)
3	10	20.4%
2	8	16.3%
7	7	14.3%
8	5	10.2%
4	4	8.2%
6	4	8.2%
5	3	6.1%
0	3	6.1%
1	3	6.1%
9	2	4.1%

Other Punctuation

Value	Count	Frequency (%)
/	28	57.1%
.	14	28.6%
:	7	14.3%

Most occurring scripts

Value	Count	Frequency (%)
Latin	175	64.1%
Common	98	35.9%

Most frequent character per script

Common

Value	Count	Frequency (%)
/	28	28.6%
.	14	14.3%
3	10	10.2%
2	8	8.2%
7	7	7.1%
:	7	7.1%
8	5	5.1%
4	4	4.1%
6	4	4.1%
5	3	3.1%
Other values (3)	8	8.2%

Latin

Value	Count	Frequency (%)
p	21	12.0%
s	21	12.0%
e	21	12.0%
t	21	12.0%
a	14	8.0%
i	14	8.0%
m	14	8.0%
o	14	8.0%
h	7	4.0%
d	7	4.0%
Other values (3)	21	12.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	273	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
/	28	10.3%
p	21	7.7%
s	21	7.7%
e	21	7.7%
t	21	7.7%
a	14	5.1%
i	14	5.1%
.	14	5.1%
m	14	5.1%
o	14	5.1%
Other values (16)	91	33.3%

_embedded.show.network.id
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	10
Distinct (%)	76.9%
Missing	75
Missing (%)	85.2%
Infinite	0
Infinite (%)	0.0%
Mean	519.8461538

Minimum	30
Maximum	1862
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	832.0 B

Quantile statistics

Minimum	30
5-th percentile	42.6
Q1	51
median	132
Q3	514
95-th percentile	1829.6
Maximum	1862
Range	1832
Interquartile range (IQR)	463

Descriptive statistics

Standard deviation	681.4283829
Coefficient of variation (CV)	1.310827017
Kurtosis	0.3635859858
Mean	519.8461538
Median Absolute Deviation (MAD)	102
Skewness	1.371616396
Sum	6758
Variance	464344.641
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=10)

Value	Count	Frequency (%)
51	4	4.5%
514	1	1.1%
1808	1	1.1%
1862	1	1.1%
374	1	1.1%
402	1	1.1%
1320	1	1.1%
112	1	1.1%
30	1	1.1%
132	1	1.1%
(Missing)	75	85.2%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
30	1	1.1%
51	4	4.5%
112	1	1.1%
132	1	1.1%
374	1	1.1%
402	1	1.1%
514	1	1.1%
1320	1	1.1%
1808	1	1.1%
1862	1	1.1%

Value	Count	Frequency (%)
1862	1	1.1%
1808	1	1.1%
1320	1	1.1%
514	1	1.1%
402	1	1.1%
374	1	1.1%
132	1	1.1%
112	1	1.1%
51	4	4.5%
30	1	1.1%

_embedded.show.network.name
Categorical

HIGH CORRELATION
MISSING

Distinct	10
Distinct (%)	76.9%
Missing	75
Missing (%)	85.2%
Memory size	832.0 B

BBC Four	4
ТВ-3	1
MBC Masr	1
AfricaMagic Showcase	1
TV Globo	1
Other values (5)	5

Length

Max length	20
Median length	8
Mean length	8.846153846
Min length	4

Characters and Unicode

Total characters	115
Distinct characters	51
Distinct categories	6 ?
Distinct scripts	3 ?
Distinct blocks	2 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	9 ?
Unique (%)	69.2%

Sample

1st row	ТВ-3
2nd row	MBC Masr
3rd row	AfricaMagic Showcase
4th row	TV Globo
5th row	Новий Канал

Common Values

Value	Count	Frequency (%)
BBC Four	4	4.5%
ТВ-3	1	1.1%
MBC Masr	1	1.1%
AfricaMagic Showcase	1	1.1%
TV Globo	1	1.1%
Новий Канал	1	1.1%
UA:Перший	1	1.1%
RTL4	1	1.1%
USA Network	1	1.1%
Tokyo MX	1	1.1%
(Missing)	75	85.2%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
bbc	4	17.4%
four	4	17.4%
новий	1	4.3%
tokyo	1	4.3%
network	1	4.3%
usa	1	4.3%
rtl4	1	4.3%
ua:перший	1	4.3%
канал	1	4.3%
globo	1	4.3%
Other values (7)	7	30.4%

Most occurring characters

Value	Count	Frequency (%)
	10	8.7%
o	10	8.7%
B	9	7.8%
r	7	6.1%
C	5	4.3%
M	4	3.5%
F	4	3.5%
u	4	3.5%
a	4	3.5%
T	3	2.6%
Other values (41)	55	47.8%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	58	50.4%
Uppercase Letter	43	37.4%
Space Separator	10	8.7%
Decimal Number	2	1.7%
Other Punctuation	1	0.9%
Dash Punctuation	1	0.9%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
o	10	17.2%
r	7	12.1%
u	4	6.9%
a	4	6.9%
c	3	5.2%
k	2	3.4%
w	2	3.4%
й	2	3.4%
и	2	3.4%
s	2	3.4%
Other values (17)	20	34.5%

Uppercase Letter

Value	Count	Frequency (%)
B	9	20.9%
C	5	11.6%
M	4	9.3%
F	4	9.3%
T	3	7.0%
A	3	7.0%
U	2	4.7%
S	2	4.7%
R	1	2.3%
L	1	2.3%
Other values (9)	9	20.9%

Decimal Number

Value	Count	Frequency (%)
4	1	50.0%
3	1	50.0%

Space Separator

Value	Count	Frequency (%)
	10	100.0%

Other Punctuation

Value	Count	Frequency (%)
:	1	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	1	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	83	72.2%
Cyrillic	18	15.7%
Common	14	12.2%

Most frequent character per script

Latin

Value	Count	Frequency (%)
o	10	12.0%
B	9	10.8%
r	7	8.4%
C	5	6.0%
M	4	4.8%
F	4	4.8%
u	4	4.8%
a	4	4.8%
T	3	3.6%
A	3	3.6%
Other values (21)	30	36.1%

Cyrillic

Value	Count	Frequency (%)
й	2	11.1%
и	2	11.1%
а	2	11.1%
н	1	5.6%
ш	1	5.6%
р	1	5.6%
е	1	5.6%
П	1	5.6%
л	1	5.6%
К	1	5.6%
Other values (5)	5	27.8%

Common

Value	Count	Frequency (%)
	10	71.4%
:	1	7.1%
4	1	7.1%
3	1	7.1%
-	1	7.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	97	84.3%
Cyrillic	18	15.7%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	10	10.3%
o	10	10.3%
B	9	9.3%
r	7	7.2%
C	5	5.2%
M	4	4.1%
F	4	4.1%
u	4	4.1%
a	4	4.1%
T	3	3.1%
Other values (26)	37	38.1%

Cyrillic

Value	Count	Frequency (%)
й	2	11.1%
и	2	11.1%
а	2	11.1%
н	1	5.6%
ш	1	5.6%
р	1	5.6%
е	1	5.6%
П	1	5.6%
л	1	5.6%
К	1	5.6%
Other values (5)	5	27.8%

_embedded.show.network.country.name
Categorical

HIGH CORRELATION
MISSING

Distinct	9
Distinct (%)	69.2%
Missing	75
Missing (%)	85.2%
Memory size	832.0 B

United Kingdom	4
Ukraine	2
Russian Federation	1
Egypt	1
South Africa	1
Other values (4)	4

Length

Max length	18
Median length	13
Mean length	10.76923077
Min length	5

Characters and Unicode

Total characters	140
Distinct characters	31
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	7 ?
Unique (%)	53.8%

Sample

1st row	Russian Federation
2nd row	Egypt
3rd row	South Africa
4th row	Brazil
5th row	Ukraine

Common Values

Value	Count	Frequency (%)
United Kingdom	4	4.5%
Ukraine	2	2.3%
Russian Federation	1	1.1%
Egypt	1	1.1%
South Africa	1	1.1%
Brazil	1	1.1%
Netherlands	1	1.1%
United States	1	1.1%
Japan	1	1.1%
(Missing)	75	85.2%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
united	5	25.0%
kingdom	4	20.0%
ukraine	2	10.0%
russian	1	5.0%
federation	1	5.0%
egypt	1	5.0%
south	1	5.0%
africa	1	5.0%
brazil	1	5.0%
netherlands	1	5.0%
Other values (2)	2	10.0%

Most occurring characters

Value	Count	Frequency (%)
i	15	10.7%
n	15	10.7%
e	12	8.6%
t	11	7.9%
d	11	7.9%
a	10	7.1%
U	7	5.0%
	7	5.0%
r	6	4.3%
o	6	4.3%
Other values (21)	40	28.6%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	113	80.7%
Uppercase Letter	20	14.3%
Space Separator	7	5.0%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
i	15	13.3%
n	15	13.3%
e	12	10.6%
t	11	9.7%
d	11	9.7%
a	10	8.8%
r	6	5.3%
o	6	5.3%
g	5	4.4%
m	4	3.5%
Other values (10)	18	15.9%

Uppercase Letter

Value	Count	Frequency (%)
U	7	35.0%
K	4	20.0%
S	2	10.0%
E	1	5.0%
F	1	5.0%
R	1	5.0%
A	1	5.0%
B	1	5.0%
N	1	5.0%
J	1	5.0%

Space Separator

Value	Count	Frequency (%)
	7	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	133	95.0%
Common	7	5.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
i	15	11.3%
n	15	11.3%
e	12	9.0%
t	11	8.3%
d	11	8.3%
a	10	7.5%
U	7	5.3%
r	6	4.5%
o	6	4.5%
g	5	3.8%
Other values (20)	35	26.3%

Common

Value	Count	Frequency (%)
	7	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	140	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
i	15	10.7%
n	15	10.7%
e	12	8.6%
t	11	7.9%
d	11	7.9%
a	10	7.1%
U	7	5.0%
	7	5.0%
r	6	4.3%
o	6	4.3%
Other values (21)	40	28.6%

_embedded.show.network.country.code
Categorical

HIGH CORRELATION
MISSING

Distinct	9
Distinct (%)	69.2%
Missing	75
Missing (%)	85.2%
Memory size	832.0 B

GB	4
UA	2
RU	1
EG	1
ZA	1
Other values (4)	4

Length

Max length	2
Median length	2
Mean length	2
Min length	2

Characters and Unicode

Total characters	26
Distinct characters	12
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	7 ?
Unique (%)	53.8%

Sample

1st row	RU
2nd row	EG
3rd row	ZA
4th row	BR
5th row	UA

Common Values

Value	Count	Frequency (%)
GB	4	4.5%
UA	2	2.3%
RU	1	1.1%
EG	1	1.1%
ZA	1	1.1%
BR	1	1.1%
NL	1	1.1%
US	1	1.1%
JP	1	1.1%
(Missing)	75	85.2%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
gb	4	30.8%
ua	2	15.4%
ru	1	7.7%
eg	1	7.7%
za	1	7.7%
br	1	7.7%
nl	1	7.7%
us	1	7.7%
jp	1	7.7%

Most occurring characters

Value	Count	Frequency (%)
G	5	19.2%
B	5	19.2%
U	4	15.4%
A	3	11.5%
R	2	7.7%
E	1	3.8%
Z	1	3.8%
N	1	3.8%
L	1	3.8%
S	1	3.8%
Other values (2)	2	7.7%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	26	100.0%

Most frequent character per category

Uppercase Letter

Value	Count	Frequency (%)
G	5	19.2%
B	5	19.2%
U	4	15.4%
A	3	11.5%
R	2	7.7%
E	1	3.8%
Z	1	3.8%
N	1	3.8%
L	1	3.8%
S	1	3.8%
Other values (2)	2	7.7%

Most occurring scripts

Value	Count	Frequency (%)
Latin	26	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
G	5	19.2%
B	5	19.2%
U	4	15.4%
A	3	11.5%
R	2	7.7%
E	1	3.8%
Z	1	3.8%
N	1	3.8%
L	1	3.8%
S	1	3.8%
Other values (2)	2	7.7%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	26	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
G	5	19.2%
B	5	19.2%
U	4	15.4%
A	3	11.5%
R	2	7.7%
E	1	3.8%
Z	1	3.8%
N	1	3.8%
L	1	3.8%
S	1	3.8%
Other values (2)	2	7.7%

_embedded.show.network.country.timezone
Categorical

HIGH CORRELATION
MISSING

Distinct	9
Distinct (%)	69.2%
Missing	75
Missing (%)	85.2%
Memory size	832.0 B

Europe/London	4
Europe/Zaporozhye	2
Asia/Kamchatka	1
Africa/Cairo	1
Africa/Johannesburg	1
Other values (4)	4

Length

Max length	19
Median length	16
Mean length	14.46153846
Min length	10

Characters and Unicode

Total characters	188
Distinct characters	33
Distinct categories	4 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	7 ?
Unique (%)	53.8%

Sample

1st row	Asia/Kamchatka
2nd row	Africa/Cairo
3rd row	Africa/Johannesburg
4th row	America/Noronha
5th row	Europe/Zaporozhye

Common Values

Value	Count	Frequency (%)
Europe/London	4	4.5%
Europe/Zaporozhye	2	2.3%
Asia/Kamchatka	1	1.1%
Africa/Cairo	1	1.1%
Africa/Johannesburg	1	1.1%
America/Noronha	1	1.1%
Europe/Amsterdam	1	1.1%
America/New_York	1	1.1%
Asia/Tokyo	1	1.1%
(Missing)	75	85.2%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
europe/london	4	30.8%
europe/zaporozhye	2	15.4%
asia/kamchatka	1	7.7%
africa/cairo	1	7.7%
africa/johannesburg	1	7.7%
america/noronha	1	7.7%
europe/amsterdam	1	7.7%
america/new_york	1	7.7%
asia/tokyo	1	7.7%

Most occurring characters

Value	Count	Frequency (%)
o	26	13.8%
r	18	9.6%
a	15	8.0%
e	14	7.4%
/	13	6.9%
n	11	5.9%
p	9	4.8%
u	8	4.3%
E	7	3.7%
A	7	3.7%
Other values (23)	60	31.9%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	147	78.2%
Uppercase Letter	27	14.4%
Other Punctuation	13	6.9%
Connector Punctuation	1	0.5%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
o	26	17.7%
r	18	12.2%
a	15	10.2%
e	14	9.5%
n	11	7.5%
p	9	6.1%
u	8	5.4%
i	7	4.8%
c	5	3.4%
d	5	3.4%
Other values (11)	29	19.7%

Uppercase Letter

Value	Count	Frequency (%)
E	7	25.9%
A	7	25.9%
L	4	14.8%
N	2	7.4%
Z	2	7.4%
Y	1	3.7%
C	1	3.7%
J	1	3.7%
K	1	3.7%
T	1	3.7%

Other Punctuation

Value	Count	Frequency (%)
/	13	100.0%

Connector Punctuation

Value	Count	Frequency (%)
_	1	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	174	92.6%
Common	14	7.4%

Most frequent character per script

Latin

Value	Count	Frequency (%)
o	26	14.9%
r	18	10.3%
a	15	8.6%
e	14	8.0%
n	11	6.3%
p	9	5.2%
u	8	4.6%
E	7	4.0%
A	7	4.0%
i	7	4.0%
Other values (21)	52	29.9%

Common

Value	Count	Frequency (%)
/	13	92.9%
_	1	7.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	188	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
o	26	13.8%
r	18	9.6%
a	15	8.0%
e	14	7.4%
/	13	6.9%
n	11	5.9%
p	9	4.8%
u	8	4.3%
E	7	3.7%
A	7	3.7%
Other values (23)	60	31.9%

_embedded.show.network.officialSite
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing	88
Missing (%)	100.0%
Memory size	832.0 B

_embedded.show.webChannel
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing	88
Missing (%)	100.0%
Memory size	832.0 B

_embedded.show.image
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing	88
Missing (%)	100.0%
Memory size	832.0 B

_embedded.show.dvdCountry.name
Categorical

CONSTANT
MISSING
REJECTED

Distinct	1
Distinct (%)	50.0%
Missing	86
Missing (%)	97.7%
Memory size	832.0 B

Ukraine	2

Length

Max length	7
Median length	7
Mean length	7
Min length	7

Characters and Unicode

Total characters	14
Distinct characters	7
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Ukraine
2nd row	Ukraine

Common Values

Value	Count	Frequency (%)
Ukraine	2	2.3%
(Missing)	86	97.7%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
ukraine	2	100.0%

Most occurring characters

Value	Count	Frequency (%)
U	2	14.3%
k	2	14.3%
r	2	14.3%
a	2	14.3%
i	2	14.3%
n	2	14.3%
e	2	14.3%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	12	85.7%
Uppercase Letter	2	14.3%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
k	2	16.7%
r	2	16.7%
a	2	16.7%
i	2	16.7%
n	2	16.7%
e	2	16.7%

Uppercase Letter

Value	Count	Frequency (%)
U	2	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	14	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
U	2	14.3%
k	2	14.3%
r	2	14.3%
a	2	14.3%
i	2	14.3%
n	2	14.3%
e	2	14.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	14	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
U	2	14.3%
k	2	14.3%
r	2	14.3%
a	2	14.3%
i	2	14.3%
n	2	14.3%
e	2	14.3%

_embedded.show.dvdCountry.code
Categorical

CONSTANT
MISSING
REJECTED

Distinct	1
Distinct (%)	50.0%
Missing	86
Missing (%)	97.7%
Memory size	832.0 B

UA	2

Length

Max length	2
Median length	2
Mean length	2
Min length	2

Characters and Unicode

Total characters	4
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	UA
2nd row	UA

Common Values

Value	Count	Frequency (%)
UA	2	2.3%
(Missing)	86	97.7%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
ua	2	100.0%

Most occurring characters

Value	Count	Frequency (%)
U	2	50.0%
A	2	50.0%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	4	100.0%

Most frequent character per category

Uppercase Letter

Value	Count	Frequency (%)
U	2	50.0%
A	2	50.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	4	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
U	2	50.0%
A	2	50.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	4	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
U	2	50.0%
A	2	50.0%

_embedded.show.dvdCountry.timezone
Categorical

CONSTANT
MISSING
REJECTED

Distinct	1
Distinct (%)	50.0%
Missing	86
Missing (%)	97.7%
Memory size	832.0 B

Europe/Zaporozhye	2

Length

Max length	17
Median length	17
Mean length	17
Min length	17

Characters and Unicode

Total characters	34
Distinct characters	12
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Europe/Zaporozhye
2nd row	Europe/Zaporozhye

Common Values

Value	Count	Frequency (%)
Europe/Zaporozhye	2	2.3%
(Missing)	86	97.7%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
europe/zaporozhye	2	100.0%

Most occurring characters

Value	Count	Frequency (%)
o	6	17.6%
r	4	11.8%
p	4	11.8%
e	4	11.8%
E	2	5.9%
u	2	5.9%
/	2	5.9%
Z	2	5.9%
a	2	5.9%
z	2	5.9%
Other values (2)	4	11.8%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	28	82.4%
Uppercase Letter	4	11.8%
Other Punctuation	2	5.9%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
o	6	21.4%
r	4	14.3%
p	4	14.3%
e	4	14.3%
u	2	7.1%
a	2	7.1%
z	2	7.1%
h	2	7.1%
y	2	7.1%

Uppercase Letter

Value	Count	Frequency (%)
E	2	50.0%
Z	2	50.0%

Other Punctuation

Value	Count	Frequency (%)
/	2	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	32	94.1%
Common	2	5.9%

Most frequent character per script

Latin

Value	Count	Frequency (%)
o	6	18.8%
r	4	12.5%
p	4	12.5%
e	4	12.5%
E	2	6.2%
u	2	6.2%
Z	2	6.2%
a	2	6.2%
z	2	6.2%
h	2	6.2%

Common

Value	Count	Frequency (%)
/	2	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	34	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
o	6	17.6%
r	4	11.8%
p	4	11.8%
e	4	11.8%
E	2	5.9%
u	2	5.9%
/	2	5.9%
Z	2	5.9%
a	2	5.9%
z	2	5.9%
Other values (2)	4	11.8%

Spearman's ρ

The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.

To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.

Pearson's r

The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.

To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.

Kendall's τ

Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.

To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.

Phik (φk)

Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

The dendrogram allows you to more fully correlate variable completion, revealing trends deeper than the pairwise ones visible in the correlation heatmap.

First rows

	id	url	name	season	number	type	airdate	airtime	airstamp	runtime	summary	rating.average	image.medium	image.original	_links.self.href	_embedded.show.id	_embedded.show.url	_embedded.show.name	_embedded.show.type	_embedded.show.language	_embedded.show.genres	_embedded.show.status	_embedded.show.runtime	_embedded.show.averageRuntime	_embedded.show.premiered	_embedded.show.ended	_embedded.show.officialSite	_embedded.show.schedule.time	_embedded.show.schedule.days	_embedded.show.rating.average	_embedded.show.weight	_embedded.show.network	_embedded.show.webChannel.id	_embedded.show.webChannel.name	_embedded.show.webChannel.country	_embedded.show.webChannel.officialSite	_embedded.show.dvdCountry	_embedded.show.externals.tvrage	_embedded.show.externals.thetvdb	_embedded.show.externals.imdb	_embedded.show.image.medium	_embedded.show.image.original	_embedded.show.summary	_embedded.show.updated	_embedded.show._links.self.href	_embedded.show._links.previousepisode.href	image	_embedded.show.webChannel.country.name	_embedded.show.webChannel.country.code	_embedded.show.webChannel.country.timezone	_embedded.show._links.nextepisode.href	_embedded.show.network.id	_embedded.show.network.name	_embedded.show.network.country.name	_embedded.show.network.country.code	_embedded.show.network.country.timezone	_embedded.show.network.officialSite	_embedded.show.webChannel	_embedded.show.image	_embedded.show.dvdCountry.name	_embedded.show.dvdCountry.code	_embedded.show.dvdCountry.timezone
0	2179612	https://www.tvmaze.com/episodes/2179612/kontakty-1x29-kontakty-v-telefone-nikolaa-soboleva-klava-koka-eldar-dzarahov-andrej-malahov-edvard-bil	КОНТАКТЫ в телефоне Николая Соболева: Клава Кока, Эльдар Джарахов, Андрей Малахов, Эдвард Бил	1	29.0	regular	2020-12-09	12:00	2020-12-09T00:00:00+00:00	46.0	None	NaN	https://static.tvmaze.com/uploads/images/medium_landscape/360/901422.jpg	https://static.tvmaze.com/uploads/images/original_untouched/360/901422.jpg	https://api.tvmaze.com/episodes/2179612	49630	https://www.tvmaze.com/shows/49630/kontakty	Контакты	Game Show	Russian	[]	Running	30.0	42.0	2019-04-03	None	https://www.youtube.com/playlist?list=PLZ1FUdedsrSJubWkFFh5vKHzawzQk1mYI		[Monday]	NaN	22	NaN	21.0	YouTube	NaN	https://www.youtube.com	NaN	NaN	NaN	None	https://static.tvmaze.com/uploads/images/medium_portrait/315/789854.jpg	https://static.tvmaze.com/uploads/images/original_untouched/315/789854.jpg	None	1661485729	https://api.tvmaze.com/shows/49630	https://api.tvmaze.com/episodes/2380515	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN
1	1986871	https://www.tvmaze.com/episodes/1986871/kotiki-1x08-seria-8	Серия 8	1	8.0	regular	2020-12-09		2020-12-09T00:00:00+00:00	13.0	None	NaN	NaN	NaN	https://api.tvmaze.com/episodes/1986871	52198	https://www.tvmaze.com/shows/52198/kotiki	Котики	Scripted	Russian	[Comedy]	Ended	12.0	12.0	2020-11-30	2020-12-11	http://epic-media.ru/project/kotiki	10:00	[Monday, Tuesday, Wednesday, Thursday, Friday]	NaN	15	NaN	510.0	Epic Media	NaN	None	NaN	NaN	392682.0	None	https://static.tvmaze.com/uploads/images/medium_portrait/355/888089.jpg	https://static.tvmaze.com/uploads/images/original_untouched/355/888089.jpg	None	1637555191	https://api.tvmaze.com/shows/52198	https://api.tvmaze.com/episodes/1986873	NaN	Russian Federation	RU	Asia/Kamchatka	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN
2	1983257	https://www.tvmaze.com/episodes/1983257/mertvye-dusi-1x01-seria-1	Серия 1	1	1.0	regular	2020-12-09		2020-12-09T00:00:00+00:00	43.0	None	NaN	https://static.tvmaze.com/uploads/images/medium_landscape/287/719751.jpg	https://static.tvmaze.com/uploads/images/original_untouched/287/719751.jpg	https://api.tvmaze.com/episodes/1983257	52316	https://www.tvmaze.com/shows/52316/mertvye-dusi	Мёртвые души	Scripted	Russian	[Comedy]	Ended	43.0	43.0	2020-12-09	2020-12-16	https://www.ivi.ru/watch/mertvyie-dushi-2020		[Wednesday]	NaN	21	NaN	337.0	ivi	NaN	https://www.ivi.ru/	NaN	NaN	393060.0	None	https://static.tvmaze.com/uploads/images/medium_portrait/287/719749.jpg	https://static.tvmaze.com/uploads/images/original_untouched/287/719749.jpg	<p>A modern adaptation of the classic novel-poem by Nikolai Gogol. The action takes place in our days. Chichikov, an enterprising and not without charm official from Moscow, this time does not buy up dead souls from small-minded provincials, but sells them places in the cemetery next to celebrities. He arrives in the County town of N and quickly makes" big and small " connections there. These bright acquaintances will benefit him and open up new opportunities for personal gain.</p>	1608253013	https://api.tvmaze.com/shows/52316	https://api.tvmaze.com/episodes/1983260	NaN	Russian Federation	RU	Asia/Kamchatka	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN
3	1983258	https://www.tvmaze.com/episodes/1983258/mertvye-dusi-1x02-seria-2	Серия 2	1	2.0	regular	2020-12-09		2020-12-09T00:00:00+00:00	43.0	None	NaN	https://static.tvmaze.com/uploads/images/medium_landscape/287/719752.jpg	https://static.tvmaze.com/uploads/images/original_untouched/287/719752.jpg	https://api.tvmaze.com/episodes/1983258	52316	https://www.tvmaze.com/shows/52316/mertvye-dusi	Мёртвые души	Scripted	Russian	[Comedy]	Ended	43.0	43.0	2020-12-09	2020-12-16	https://www.ivi.ru/watch/mertvyie-dushi-2020		[Wednesday]	NaN	21	NaN	337.0	ivi	NaN	https://www.ivi.ru/	NaN	NaN	393060.0	None	https://static.tvmaze.com/uploads/images/medium_portrait/287/719749.jpg	https://static.tvmaze.com/uploads/images/original_untouched/287/719749.jpg	<p>A modern adaptation of the classic novel-poem by Nikolai Gogol. The action takes place in our days. Chichikov, an enterprising and not without charm official from Moscow, this time does not buy up dead souls from small-minded provincials, but sells them places in the cemetery next to celebrities. He arrives in the County town of N and quickly makes" big and small " connections there. These bright acquaintances will benefit him and open up new opportunities for personal gain.</p>	1608253013	https://api.tvmaze.com/shows/52316	https://api.tvmaze.com/episodes/1983260	NaN	Russian Federation	RU	Asia/Kamchatka	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN
4	1971569	https://www.tvmaze.com/episodes/1971569/mermaid-prince-2x09-episode-9	Episode 9	2	9.0	regular	2020-12-09	11:00	2020-12-09T02:00:00+00:00	15.0	None	NaN	NaN	NaN	https://api.tvmaze.com/episodes/1971569	47207	https://www.tvmaze.com/shows/47207/mermaid-prince	Mermaid Prince	Scripted	Korean	[Drama, Romance, Mystery]	Ended	15.0	15.0	2020-04-14	2020-12-10	None	11:00	[Wednesday, Thursday]	NaN	34	NaN	380.0	Seezn	NaN	https://www.seezntv.com/	NaN	NaN	380686.0	None	https://static.tvmaze.com/uploads/images/medium_portrait/283/709704.jpg	https://static.tvmaze.com/uploads/images/original_untouched/283/709704.jpg	<p><b>Mermaid Prince</b> is about Hye Ri, who embarks on a graduation trip to Gangwon Province and meets Woo Hyuk, a mysterious guy who runs a guest house.</p>	1610205155	https://api.tvmaze.com/shows/47207	https://api.tvmaze.com/episodes/1971570	NaN	Korea, Republic of	KR	Asia/Seoul	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN
5	1985044	https://www.tvmaze.com/episodes/1985044/wan-sheng-jie-2x11-enough-money-was-left-for-this-episode	Enough money was left for this episode	2	11.0	regular	2020-12-09	10:00	2020-12-09T02:00:00+00:00	4.0	None	NaN	NaN	NaN	https://api.tvmaze.com/episodes/1985044	48395	https://www.tvmaze.com/shows/48395/wan-sheng-jie	Wan Sheng Jie	Animation	Chinese	[Comedy, Anime, Supernatural]	Running	4.0	4.0	2020-04-01	None	https://v.qq.com/detail/a/awnia0n2erqryf3.html	10:00	[Wednesday]	NaN	16	NaN	104.0	Tencent QQ	NaN	https://v.qq.com/	NaN	NaN	380207.0	None	https://static.tvmaze.com/uploads/images/medium_portrait/259/648137.jpg	https://static.tvmaze.com/uploads/images/original_untouched/259/648137.jpg	<p>The pure and cute little devil Nini lives in Room 1031 of Wan Sheng Street Apartment. His roommates are no ordinary people: The lazy and wacky vampire Ira who spends most of his time gaming or watching TV, the unlucky dancer werewolf Vladimir, the serious and old-fashioned angel landlord Lynn and his naive little sister Lily, and many more.<br /><br />What none of them realize is that the power of the demon king is sleeping inside of Nini. With evil forces in hot pursuit, can Nini and his friends head off disaster?</p>	1647193542	https://api.tvmaze.com/shows/48395	https://api.tvmaze.com/episodes/2280228	NaN	China	CN	Asia/Shanghai	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN
6	2386105	https://www.tvmaze.com/episodes/2386105/xian-feng-jian-yu-lu-1x46-episode-46	Episode 46	1	46.0	regular	2020-12-09	10:00	2020-12-09T02:00:00+00:00	8.0	None	NaN	NaN	NaN	https://api.tvmaze.com/episodes/2386105	49206	https://www.tvmaze.com/shows/49206/xian-feng-jian-yu-lu	Xian Feng Jian Yu Lu	Animation	Chinese	[Action, Anime, Fantasy, Supernatural]	Running	8.0	7.0	2020-07-11	None	https://v.qq.com/detail/m/mzc00200hc38s5x.html	10:00	[Wednesday, Saturday]	NaN	62	NaN	104.0	Tencent QQ	NaN	https://v.qq.com/	NaN	NaN	386423.0	None	https://static.tvmaze.com/uploads/images/medium_portrait/270/675333.jpg	https://static.tvmaze.com/uploads/images/original_untouched/270/675333.jpg	<p>In ancient Shenzhou, humans and demons had been in constant dispute for thousands of years. The demon princess from Tushan, Bai Binglan, and the human Zhang Kuangyun met each other due to a misunderstanding. In order to investigate the enemy country, Bai Binglan became Zhang Kuangyun's companion. As they travel together, Zhang Kuangyun discovers a conspiracy...</p>	1662275668	https://api.tvmaze.com/shows/49206	https://api.tvmaze.com/episodes/2386129	NaN	China	CN	Asia/Shanghai	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN
7	1985616	https://www.tvmaze.com/episodes/1985616/yi-nian-yong-heng-1x20-episode-20	Episode 20	1	20.0	regular	2020-12-09	10:00	2020-12-09T02:00:00+00:00	19.0	None	NaN	NaN	NaN	https://api.tvmaze.com/episodes/1985616	49652	https://www.tvmaze.com/shows/49652/yi-nian-yong-heng	Yi Nian Yong Heng	Animation	Chinese	[Comedy, Action, Anime, Fantasy]	Running	19.0	19.0	2020-08-12	None	https://v.qq.com/detail/w/ww18u675tfmhas6.html	10:00	[Wednesday]	NaN	56	NaN	104.0	Tencent QQ	NaN	https://v.qq.com/	NaN	NaN	388680.0	tt13695606	https://static.tvmaze.com/uploads/images/medium_portrait/267/669816.jpg	https://static.tvmaze.com/uploads/images/original_untouched/267/669816.jpg	<p>One will to create oceans. One will to summon the mulberry fields.<br /><br />One will to slaughter countless devils. One will to eradicate innumerable immortals.<br /><br />Only my will… is eternal.<br /><br />A Will Eternal tells the tale of Bai Xiaochun, an endearing but exasperating young man who is driven primarily by his fear of death and desire to live forever, but who deeply values friendship and family.<br /><br />(Source: Novel Updates)</p>	1660662594	https://api.tvmaze.com/shows/49652	https://api.tvmaze.com/episodes/2374448	NaN	China	CN	Asia/Shanghai	https://api.tvmaze.com/episodes/2374449	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN
8	2096296	https://www.tvmaze.com/episodes/2096296/no-turning-back-romance-1x02-2	2	1	2.0	regular	2020-12-09		2020-12-09T03:00:00+00:00	12.0	None	NaN	NaN	NaN	https://api.tvmaze.com/episodes/2096296	55002	https://www.tvmaze.com/shows/55002/no-turning-back-romance	No Turning Back Romance	Scripted	Korean	[]	Ended	NaN	12.0	2020-12-08	2021-01-06	None		[Tuesday, Wednesday]	NaN	23	NaN	30.0	Naver TVCast	NaN	https://tv.naver.com/	NaN	NaN	NaN	None	https://static.tvmaze.com/uploads/images/medium_portrait/319/799196.jpg	https://static.tvmaze.com/uploads/images/original_untouched/319/799196.jpg	<p>A teen romance of So Dam, a sixteen-year-old girl, who has never dated before but she receives her first-ever love confession from a mysterious boy. She is looking for the boy who secretly confessed to her while she was asleep on her desk. The clues include a male voice, mango fruit scent and gym uniform. She must piece the puzzle to find that person among the likely candidates that include hot shots Park Ji Hoo, Jeong Han Kyul, and Joo In Hyuk.</p>	1621617231	https://api.tvmaze.com/shows/55002	https://api.tvmaze.com/episodes/2096309	NaN	Korea, Republic of	KR	Asia/Seoul	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN
9	2030019	https://www.tvmaze.com/episodes/2030019/dolls-frontline-2x11-episode-11	Episode 11	2	11.0	regular	2020-12-09	12:00	2020-12-09T04:00:00+00:00	5.0	None	NaN	NaN	NaN	https://api.tvmaze.com/episodes/2030019	45713	https://www.tvmaze.com/shows/45713/dolls-frontline	Dolls' Frontline	Animation	Chinese	[Comedy, Anime, Science-Fiction]	Ended	5.0	5.0	2019-07-28	2020-12-16	https://www.bilibili.com/bangumi/media/md28229895	12:00	[Wednesday]	NaN	20	NaN	51.0	Bilibili	NaN	None	NaN	NaN	373360.0	None	https://static.tvmaze.com/uploads/images/medium_portrait/234/587413.jpg	https://static.tvmaze.com/uploads/images/original_untouched/234/587413.jpg	<p>Re-imagines famous firearms as moe girls with machine bodies that are known as T-Dolls.</p>	1613086641	https://api.tvmaze.com/shows/45713	https://api.tvmaze.com/episodes/2030020	NaN	China	CN	Asia/Shanghai	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN

Last rows

	id	url	name	season	number	type	airdate	airtime	airstamp	runtime	summary	rating.average	image.medium	image.original	_links.self.href	_embedded.show.id	_embedded.show.url	_embedded.show.name	_embedded.show.type	_embedded.show.language	_embedded.show.genres	_embedded.show.status	_embedded.show.runtime	_embedded.show.averageRuntime	_embedded.show.premiered	_embedded.show.ended	_embedded.show.officialSite	_embedded.show.schedule.time	_embedded.show.schedule.days	_embedded.show.rating.average	_embedded.show.weight	_embedded.show.network	_embedded.show.webChannel.id	_embedded.show.webChannel.name	_embedded.show.webChannel.country	_embedded.show.webChannel.officialSite	_embedded.show.dvdCountry	_embedded.show.externals.tvrage	_embedded.show.externals.thetvdb	_embedded.show.externals.imdb	_embedded.show.image.medium	_embedded.show.image.original	_embedded.show.summary	_embedded.show.updated	_embedded.show._links.self.href	_embedded.show._links.previousepisode.href	image	_embedded.show.webChannel.country.name	_embedded.show.webChannel.country.code	_embedded.show.webChannel.country.timezone	_embedded.show._links.nextepisode.href	_embedded.show.network.id	_embedded.show.network.name	_embedded.show.network.country.name	_embedded.show.network.country.code	_embedded.show.network.country.timezone	_embedded.show.network.officialSite	_embedded.show.webChannel	_embedded.show.image	_embedded.show.dvdCountry.name	_embedded.show.dvdCountry.code	_embedded.show.dvdCountry.timezone
78	2135010	https://www.tvmaze.com/episodes/2135010/dimension-20-7x05-trouble-at-the-tunnel	Trouble at the Tunnel	7	5.0	regular	2020-12-09		2020-12-09T17:00:00+00:00	NaN	None	NaN	NaN	NaN	https://api.tvmaze.com/episodes/2135010	56531	https://www.tvmaze.com/shows/56531/dimension-20	Dimension 20	Game Show	English	[Comedy, Adventure, Fantasy]	Running	NaN	NaN	2018-09-12	None	https://www.dropout.tv/dimension-20	19:00	[Wednesday]	NaN	78	NaN	311.0	Dropout	NaN	None	NaN	NaN	354216.0	tt9646546	https://static.tvmaze.com/uploads/images/medium_portrait/342/856895.jpg	https://static.tvmaze.com/uploads/images/original_untouched/342/856895.jpg	<p>Heed the call of adventure and enter <b>Dimension 20</b> where Game Master Brennan Lee Mulligan, joined by comedians and pro gamers, blends comedy with tabletop RPGs.</p>	1661872561	https://api.tvmaze.com/shows/56531	https://api.tvmaze.com/episodes/2382501	NaN	United States	US	America/New_York	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN
79	2014651	https://www.tvmaze.com/episodes/2014651/0-z-majklom-surom-s05-special-referendum-potriben-vin-komus-ci-se-z-maksom-serbinou	Референдум! Потрібен він комусь чи? ЩЕ з Максом Щербиною	5	NaN	insignificant_special	2020-12-09	20:30	2020-12-09T18:30:00+00:00	18.0	None	NaN	NaN	NaN	https://api.tvmaze.com/episodes/2014651	22893	https://www.tvmaze.com/shows/22893/0-z-majklom-surom	#@)₴?$0 з Майклом Щуром	News	Ukrainian	[Comedy, Family]	Running	30.0	30.0	2016-11-06	None	http://1tv.com.ua/programs/maikl_shcur	14:00	[Sunday]	8.2	78	NaN	21.0	YouTube	NaN	https://www.youtube.com	NaN	NaN	NaN	None	https://static.tvmaze.com/uploads/images/medium_portrait/354/887187.jpg	https://static.tvmaze.com/uploads/images/original_untouched/354/887187.jpg	<p>Humorous and analytical show <b>#@₴?$0 with Michael Schur</b> proves that sometimes reality is impossible to joke. But the restless Michael Rat does the impossible and continues to work with a team of analysts to find the unnoticed in the important and the important in the unnoticed. Although sometimes he finds the completely unimportant in no one needs.</p>	1662206917	https://api.tvmaze.com/shows/22893	https://api.tvmaze.com/episodes/2383575	NaN	NaN	NaN	NaN	NaN	1320.0	UA:Перший	Ukraine	UA	Europe/Zaporozhye	NaN	NaN	NaN	Ukraine	UA	Europe/Zaporozhye
80	1960033	https://www.tvmaze.com/episodes/1960033/goede-tijden-slechte-tijden-31x59-aflevering-6314	Aflevering 6314	31	59.0	regular	2020-12-09	20:00	2020-12-09T19:00:00+00:00	23.0	None	NaN	https://static.tvmaze.com/uploads/images/medium_landscape/286/716334.jpg	https://static.tvmaze.com/uploads/images/original_untouched/286/716334.jpg	https://api.tvmaze.com/episodes/1960033	2504	https://www.tvmaze.com/shows/2504/goede-tijden-slechte-tijden	Goede Tijden, Slechte Tijden	Scripted	Dutch	[Drama, Romance]	Running	23.0	25.0	1990-10-01	None	http://gtst.nl/#!/	20:00	[Monday, Tuesday, Wednesday, Thursday]	NaN	83	NaN	NaN	NaN	NaN	NaN	NaN	19056.0	104271.0	tt0096597	https://static.tvmaze.com/uploads/images/medium_portrait/332/830481.jpg	https://static.tvmaze.com/uploads/images/original_untouched/332/830481.jpg	None	1662346277	https://api.tvmaze.com/shows/2504	https://api.tvmaze.com/episodes/2379702	NaN	NaN	NaN	NaN	https://api.tvmaze.com/episodes/2379703	112.0	RTL4	Netherlands	NL	Europe/Amsterdam	NaN	NaN	NaN	NaN	NaN	NaN
81	2053421	https://www.tvmaze.com/episodes/2053421/canal-boat-diaries-2x01-ellesmere-port-to-audlem	Ellesmere Port to Audlem	2	1.0	regular	2020-12-09	19:30	2020-12-09T19:30:00+00:00	30.0	<p>Robbie battles his way through blanket weed on the Shropshire Union Canal and discovers industrial secrets in Audlem, Cheshire.</p>	NaN	NaN	NaN	https://api.tvmaze.com/episodes/2053421	45155	https://www.tvmaze.com/shows/45155/canal-boat-diaries	Canal Boat Diaries	Documentary	English	[Travel]	To Be Determined	30.0	30.0	2019-11-18	None	https://www.bbc.co.uk/programmes/m000bks0	19:30	[Monday, Tuesday, Wednesday, Thursday]	NaN	67	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	None	https://static.tvmaze.com/uploads/images/medium_portrait/226/565494.jpg	https://static.tvmaze.com/uploads/images/original_untouched/226/565494.jpg	<p>Jump aboard with Robbie Cumming as he embarks on a 300-mile journey across the Midlands and northern England in his narrowboat.</p>	1662279002	https://api.tvmaze.com/shows/45155	https://api.tvmaze.com/episodes/2293679	NaN	NaN	NaN	NaN	NaN	51.0	BBC Four	United Kingdom	GB	Europe/London	NaN	NaN	NaN	NaN	NaN	NaN
82	2053422	https://www.tvmaze.com/episodes/2053422/canal-boat-diaries-2x02-market-drayton-to-stourport-on-severn	Market Drayton to Stourport-on-Severn	2	2.0	regular	2020-12-09	19:30	2020-12-09T19:30:00+00:00	30.0	<p>Robbie gets stuck in the mud in Woodseaves Cutting and explores the charming canal-side village of Kinver in Staffordshire.</p>	NaN	NaN	NaN	https://api.tvmaze.com/episodes/2053422	45155	https://www.tvmaze.com/shows/45155/canal-boat-diaries	Canal Boat Diaries	Documentary	English	[Travel]	To Be Determined	30.0	30.0	2019-11-18	None	https://www.bbc.co.uk/programmes/m000bks0	19:30	[Monday, Tuesday, Wednesday, Thursday]	NaN	67	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	None	https://static.tvmaze.com/uploads/images/medium_portrait/226/565494.jpg	https://static.tvmaze.com/uploads/images/original_untouched/226/565494.jpg	<p>Jump aboard with Robbie Cumming as he embarks on a 300-mile journey across the Midlands and northern England in his narrowboat.</p>	1662279002	https://api.tvmaze.com/shows/45155	https://api.tvmaze.com/episodes/2293679	NaN	NaN	NaN	NaN	NaN	51.0	BBC Four	United Kingdom	GB	Europe/London	NaN	NaN	NaN	NaN	NaN	NaN
83	2053423	https://www.tvmaze.com/episodes/2053423/canal-boat-diaries-2x03-stourport-basins-to-kingswood-junction	Stourport Basins to Kingswood Junction	2	3.0	regular	2020-12-09	19:30	2020-12-09T19:30:00+00:00	30.0	<p>Robbie navigates the mighty River Severn and takes an unexpected bath as he takes a tumble at the Tardebigge lock flight in Worcestershire.</p>	NaN	NaN	NaN	https://api.tvmaze.com/episodes/2053423	45155	https://www.tvmaze.com/shows/45155/canal-boat-diaries	Canal Boat Diaries	Documentary	English	[Travel]	To Be Determined	30.0	30.0	2019-11-18	None	https://www.bbc.co.uk/programmes/m000bks0	19:30	[Monday, Tuesday, Wednesday, Thursday]	NaN	67	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	None	https://static.tvmaze.com/uploads/images/medium_portrait/226/565494.jpg	https://static.tvmaze.com/uploads/images/original_untouched/226/565494.jpg	<p>Jump aboard with Robbie Cumming as he embarks on a 300-mile journey across the Midlands and northern England in his narrowboat.</p>	1662279002	https://api.tvmaze.com/shows/45155	https://api.tvmaze.com/episodes/2293679	NaN	NaN	NaN	NaN	NaN	51.0	BBC Four	United Kingdom	GB	Europe/London	NaN	NaN	NaN	NaN	NaN	NaN
84	2053424	https://www.tvmaze.com/episodes/2053424/canal-boat-diaries-2x04-stratford-upon-avon-to-birmingham	Stratford-upon-Avon to Birmingham	2	4.0	regular	2020-12-09	19:30	2020-12-09T19:30:00+00:00	30.0	<p>On the last leg of his journey across England, Robbie crosses an epic aqueduct near Stratford-upon-Avon and gets stuck in a lock in central Birmingham.</p>	NaN	NaN	NaN	https://api.tvmaze.com/episodes/2053424	45155	https://www.tvmaze.com/shows/45155/canal-boat-diaries	Canal Boat Diaries	Documentary	English	[Travel]	To Be Determined	30.0	30.0	2019-11-18	None	https://www.bbc.co.uk/programmes/m000bks0	19:30	[Monday, Tuesday, Wednesday, Thursday]	NaN	67	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	None	https://static.tvmaze.com/uploads/images/medium_portrait/226/565494.jpg	https://static.tvmaze.com/uploads/images/original_untouched/226/565494.jpg	<p>Jump aboard with Robbie Cumming as he embarks on a 300-mile journey across the Midlands and northern England in his narrowboat.</p>	1662279002	https://api.tvmaze.com/shows/45155	https://api.tvmaze.com/episodes/2293679	NaN	NaN	NaN	NaN	NaN	51.0	BBC Four	United Kingdom	GB	Europe/London	NaN	NaN	NaN	NaN	NaN	NaN
85	1958866	https://www.tvmaze.com/episodes/1958866/wwe-nxt-14x50-main-event-raquel-gonzalez-vs-ember-moon	Main Event: Raquel Gonzalez vs. Ember Moon	14	50.0	regular	2020-12-09	20:00	2020-12-10T01:00:00+00:00	121.0	None	NaN	NaN	NaN	https://api.tvmaze.com/episodes/1958866	2266	https://www.tvmaze.com/shows/2266/wwe-nxt	WWE NXT	Sports	English	[]	Running	120.0	77.0	2010-02-23	None	http://www.wwe.com/inside/networkschedule	20:00	[Tuesday]	7.2	92	NaN	15.0	WWE Network	NaN	None	NaN	25100.0	144541.0	tt1601141	https://static.tvmaze.com/uploads/images/medium_portrait/401/1002762.jpg	https://static.tvmaze.com/uploads/images/original_untouched/401/1002762.jpg	<p>Each Wednesday at 8:00 p.m. ET, WWE Superstars and Divas of tomorrow face off on <b>WWE NXT</b><i>,</i> a one-hour weekly show that features the brightest and best of WWE's rising stars. WWE NXT showcases the Superstars and Divas from WWE's Performance Center as well as appearances from WWE Superstars and Legends in an intimate setting. WWE NXT broadcasts from the state-of-the-art Full Sail LIVE venue on the Full Sail University in campus in Orlando, Florida.</p>	1661969159	https://api.tvmaze.com/shows/2266	https://api.tvmaze.com/episodes/2383154	NaN	United States	US	America/New_York	https://api.tvmaze.com/episodes/2367107	30.0	USA Network	United States	US	America/New_York	NaN	NaN	NaN	NaN	NaN	NaN
86	1976924	https://www.tvmaze.com/episodes/1976924/ruth-ruby-virtual-sleepover-challenges-2020-12-09-holiday-gingerbread-triple-threat	Holiday Gingerbread Triple Threat	2020	9.0	regular	2020-12-09	21:25	2020-12-10T02:25:00+00:00	7.0	<p>Happy Holidays! BFFs Ruby Rose Turner (Coop & Cami Ask the World), Ruth Righi (Sydney to the Max), and special guest Izabela Rose (Upside-Down Magic) compete to see who can make the best gingerbread house! </p>	NaN	https://static.tvmaze.com/uploads/images/medium_landscape/382/956556.jpg	https://static.tvmaze.com/uploads/images/original_untouched/382/956556.jpg	https://api.tvmaze.com/episodes/1976924	45434	https://www.tvmaze.com/shows/45434/ruth-ruby-virtual-sleepover-challenges	Ruth & Ruby Virtual Sleepover Challenges	Talk Show	English	[Comedy, Children, DIY]	Running	12.0	6.0	2019-08-09	None	https://disneynow.com/shows/ruth-and-ruby-virtual-sleepover-challenges	21:25	[Wednesday]	NaN	22	NaN	83.0	DisneyNOW	NaN	None	NaN	NaN	NaN	None	https://static.tvmaze.com/uploads/images/medium_portrait/285/714446.jpg	https://static.tvmaze.com/uploads/images/original_untouched/285/714446.jpg	<p>Grab your sleeping bag and join BFFs Ruby Rose Turner (Coop & Cami Ask the World) and Ruth Righi (Sydney to the Max) for the ultimate sleepover!</p>	1639237512	https://api.tvmaze.com/shows/45434	https://api.tvmaze.com/episodes/1976924	NaN	United States	US	America/New_York	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN
87	1945145	https://www.tvmaze.com/episodes/1945145/noblesse-1x10-dangerous-man-loveparade	Dangerous Man / LOVEPARADE	1	10.0	regular	2020-12-09	00:00	2020-12-10T05:00:00+00:00	25.0	<p>Rael appears at Ye Ran High School to pick up Seira, and attacks M-21, Takeo, and Tao. Rael, who was rejected by Seira, challenges Frankenstein to a battle. To protect his companions and to protect Raizel, Frankenstein can no longer keep silent.</p>	NaN	https://static.tvmaze.com/uploads/images/medium_landscape/292/732072.jpg	https://static.tvmaze.com/uploads/images/original_untouched/292/732072.jpg	https://api.tvmaze.com/episodes/1945145	49732	https://www.tvmaze.com/shows/49732/noblesse	Noblesse	Animation	Japanese	[Anime, Supernatural]	Ended	25.0	25.0	2015-12-04	2020-12-30	https://noblesse-anime.com/	00:00	[Wednesday]	NaN	44	NaN	20.0	Crunchyroll	NaN	None	NaN	NaN	386818.0	None	https://static.tvmaze.com/uploads/images/medium_portrait/268/670751.jpg	https://static.tvmaze.com/uploads/images/original_untouched/268/670751.jpg	<p>Raizel awakens from his 820-year slumber. He holds the special title of Noblesse, a pure-blooded Noble and protector of all other Nobles. In an attempt to protect Raizel, his servant Frankenstein enrolls him at Ye Ran High School, where Raizel learns the simple and quotidian routines of the human world through his classmates. However, the Union, a secret society plotting to take over the world, dispatches modified humans and gradually encroaches on Raizel's life, causing him to wield his mighty power to protect those around him... After 820 years of intrigue, the secrets behind his slumber are finally revealed, and Raizel's absolute protection as the Noblesse begins!</p>	1648716882	https://api.tvmaze.com/shows/49732	https://api.tvmaze.com/episodes/1985214	NaN	NaN	NaN	NaN	NaN	132.0	Tokyo MX	Japan	JP	Asia/Tokyo	NaN	NaN	NaN	NaN	NaN	NaN

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